library(keras)
library(readr)
library(dplyr)
Attaching package: ‘dplyr’
The following objects are masked from ‘package:stats’:
filter, lag
The following objects are masked from ‘package:base’:
intersect, setdiff, setequal, unionlibrary(ggplot2)
library(purrr)
use_session_with_seed(7777, disable_gpu = FALSE, disable_parallel_cpu = FALSE)2018-11-26 11:30:27.922691: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Set session seed to 7777Here, we’re using the “Census Income” (a.k.a. “Adult”) dataset available at the UCI Machine Learning Repository.
We are going to predict binarized salary (< resp. > 50k).
In this and a subsequent exercise, we are going to explore different ways of handling the presence of continuous as well as categorical variables.
The data is available in the file data/adult.data. Short descriptions are contained in data/adult.names.
train_data <- read_csv("data/adult.data",
col_names = c("age",
"workclass",
"fnlwgt",
"education",
"education_num",
"marital_status",
"occupation",
"relationship",
"race",
"sex",
"capital_gain",
"capital_loss",
"hours_per_week",
"native_country",
"salary"),
col_types = "iciciccccciiicc",
na = "?")train_data %>% glimpse()Observations: 32,561
Variables: 15
$ age <int> 39, 50, 38, 53, 28, 37, 49, 52, 31, 42, 37, 30, 23, 32, 40, 34, 25, 32, 3...
$ workclass <chr> "State-gov", "Self-emp-not-inc", "Private", "Private", "Private", "Privat...
$ fnlwgt <int> 77516, 83311, 215646, 234721, 338409, 284582, 160187, 209642, 45781, 1594...
$ education <chr> "Bachelors", "Bachelors", "HS-grad", "11th", "Bachelors", "Masters", "9th...
$ education_num <int> 13, 13, 9, 7, 13, 14, 5, 9, 14, 13, 10, 13, 13, 12, 11, 4, 9, 9, 7, 14, 1...
$ marital_status <chr> "Never-married", "Married-civ-spouse", "Divorced", "Married-civ-spouse", ...
$ occupation <chr> "Adm-clerical", "Exec-managerial", "Handlers-cleaners", "Handlers-cleaner...
$ relationship <chr> "Not-in-family", "Husband", "Not-in-family", "Husband", "Wife", "Wife", "...
$ race <chr> "White", "White", "White", "Black", "Black", "White", "Black", "White", "...
$ sex <chr> "Male", "Male", "Male", "Male", "Female", "Female", "Female", "Male", "Fe...
$ capital_gain <int> 2174, 0, 0, 0, 0, 0, 0, 0, 14084, 5178, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...
$ capital_loss <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2042...
$ hours_per_week <int> 40, 13, 40, 40, 40, 40, 16, 45, 50, 40, 80, 40, 30, 50, 40, 45, 35, 40, 5...
$ native_country <chr> "United-States", "United-States", "United-States", "United-States", "Cuba...
$ salary <chr> "<=50K", "<=50K", "<=50K", "<=50K", "<=50K", "<=50K", "<=50K", ">50K", ">...nrow(train_data)[1] 32561The dataset contains missing values. For our current purpose it’s okay to just remove all incomplete rows.
train_data <- na.omit(train_data)
nrow(train_data)[1] 30162We transform the values to 0s resp. 1s.
y_train <- train_data$salary %>% factor() %>% as.numeric() - 1
y_train [1] 0 0 0 0 0 0 0 1 1 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
[48] 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0 1 1 0 0 1 1
[95] 0 0 0 1 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0
[142] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 1
[189] 0 0 0 1 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 1 0 1 0 0 0 1 0 1 1 0 0 0 0
[236] 1 0 0 0 0 0 0 0 0 0 1 1 0 1 1 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1
[283] 0 0 0 0 1 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 1 0 1
[330] 0 1 0 0 0 1 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 1 0 0 1 0 0
[377] 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 1 1 0
[424] 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[471] 0 0 0 1 0 0 1 1 1 0 1 1 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1
[518] 1 0 1 0 0 0 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 1 0 1 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
[565] 0 0 0 0 0 1 0 0 0 0 0 0 1 0 1 1 0 0 1 1 0 0 0 1 0 1 0 0 0 1 0 1 0 0 1 0 0 1 0 0 0 0 0 1 1 0 0
[612] 0 0 1 0 1 0 0 0 1 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0
[659] 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 1 0 1 1
[706] 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 1 0 0 0 1 0 0 1 0 0 0 1 1 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 1 0
[753] 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 0 0
[800] 1 0 1 0 1 1 0 1 0 0 1 0 0 1 0 1 0 0 0 0 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0
[847] 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 1 0 1 0 0 1 0 0 0 0 1 0 0 1 1 0 0 0 1 0 1 1 0 0 0 0 0 0 1 0 1
[894] 1 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 1 1 0 0 0 0 1 1 0 0 0 1 1 0 0 1 0
[941] 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 1 1 1 0 0 0 0 1 1 0 0 0 0 1 0 1 0 0 0 0 1
[988] 1 1 0 0 0 0 0 1 0 0 0 1 0
[ reached getOption("max.print") -- omitted 29162 entries ]Check that the reported class imbalance (~ 1:3) really is present in the dataset.
table(y_train)y_train
0 1
22654 7508 First we remove the target variable from the dataset and convert the character variables into factors.
x_train <- train_data %>%
select(-salary) %>%
mutate_if(is.character, factor)We first show a way to work with this dataset using the Sequential API. Your task will then be to transform the code to use the Functional API (and make some other changes).
x_train_continuous.x_train_continuous <- x_train %>% select_if(is.numeric)
x_train_continuous As x_train_continuous will be passed in to fit later, it should finally be converted to a matrix.
x_train_continuous <- x_train_continuous %>% mutate_all(scale) %>% as.matrix()
x_train_continuous age fnlwgt education_num capital_gain capital_loss hours_per_week
[1,] 0.04279500 -1.062704e+00 1.12889967 0.146089863 -0.2185824 -0.077732822
[2,] 0.88027355 -1.007855e+00 1.12889967 -0.147442178 -0.2185824 -2.331492049
[3,] -0.03333941 2.446894e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[4,] 1.10867679 4.252333e-01 -1.22404620 -0.147442178 -0.2185824 -0.077732822
[5,] -0.79468355 1.406635e+00 1.12889967 -0.147442178 -0.2185824 -0.077732822
[6,] -0.10947383 8.971652e-01 1.52105731 -0.147442178 -0.2185824 -0.077732822
[7,] 0.80413914 -2.802272e-01 -2.00836149 -0.147442178 -0.2185824 -2.081074357
[8,] 1.03254238 1.878619e-01 -0.43973091 -0.147442178 -0.2185824 0.339629998
[9,] -0.56628031 -1.363074e+00 1.52105731 1.754170177 -0.2185824 0.756992818
[10,] 0.27119824 -2.872123e-01 1.12889967 0.551687954 -0.2185824 -0.077732822
[11,] -0.10947383 8.581885e-01 -0.04757327 -0.147442178 -0.2185824 3.261169737
[12,] -0.64241472 -4.590201e-01 1.12889967 -0.147442178 -0.2185824 -0.077732822
[13,] -1.17535561 -6.390907e-01 1.12889967 -0.147442178 -0.2185824 -0.912458462
[14,] -0.49014589 1.441054e-01 0.73674202 -0.147442178 -0.2185824 0.756992818
[15,] -0.33787707 5.271330e-01 -2.40051913 -0.147442178 -0.2185824 0.339629998
[16,] -1.02308679 -1.234024e-01 -0.43973091 -0.147442178 -0.2185824 -0.495095642
[17,] -0.49014589 -2.810933e-02 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[18,] -0.03333941 -1.522975e+00 -1.22404620 -0.147442178 -0.2185824 0.756992818
[19,] 0.34733266 9.690325e-01 1.52105731 -0.147442178 -0.2185824 0.339629998
[20,] 0.11892942 3.530583e-02 2.30537260 -0.147442178 -0.2185824 1.591718458
[21,] 1.18481121 1.063408e+00 -0.43973091 -0.147442178 -0.2185824 -1.747184101
[22,] -0.26174265 -1.069055e+00 -2.00836149 -0.147442178 -0.2185824 -0.077732822
[23,] 0.34733266 -6.886397e-01 -1.22404620 -0.147442178 4.8321429 -0.077732822
[24,] 1.56548327 -7.645676e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[25,] 1.33708003 2.560947e-01 1.12889967 -0.147442178 -0.2185824 -0.077732822
[26,] -1.47989327 -2.034948e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[27,] 0.04279500 1.679708e+00 -0.43973091 -0.147442178 -0.2185824 3.261169737
[28,] 0.80413914 3.381037e-02 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[29,] -1.17535561 8.662000e-03 0.73674202 -0.147442178 -0.2185824 0.923937946
[30,] -1.40375886 7.214295e-01 -0.04757327 -0.147442178 -0.2185824 0.256157434
[31,] 0.49960148 1.865978e+00 1.12889967 -0.147442178 3.2639941 -0.077732822
[32,] -0.64241472 -1.228956e+00 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[33,] -1.25149003 1.152056e+00 -0.04757327 -0.147442178 -0.2185824 -2.164546921
[34,] 0.72800472 4.979715e-01 -1.22404620 -0.147442178 -0.2185824 -0.077732822
[35,] -1.32762444 7.009899e-02 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[36,] -1.47989327 3.353405e+00 -0.43973091 -0.147442178 -0.2185824 -1.329821282
[37,] 0.72800472 7.163373e-01 0.73674202 -0.147442178 -0.2185824 -0.077732822
[38,] -0.56628031 3.010622e+00 -2.00836149 -0.147442178 -0.2185824 0.172684870
[39,] 1.10867679 -9.586842e-01 1.12889967 -0.147442178 -0.2185824 -0.077732822
[40,] -1.09922120 -1.590758e-01 1.12889967 -0.147442178 -0.2185824 0.756992818
[41,] 0.80413914 -9.006451e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[42,] -1.02308679 9.482570e-01 -0.43973091 -0.147442178 -0.2185824 -0.495095642
[43,] 1.41321445 1.401770e+00 1.12889967 -0.147442178 -0.2185824 -0.077732822
[44,] 1.10867679 -4.300195e-01 -0.43973091 -0.147442178 -0.2185824 -0.244677950
[45,] 0.42346707 -5.815249e-01 1.52105731 -0.147442178 -0.2185824 -0.077732822
[46,] 0.19506383 -8.347218e-01 0.34458438 -0.147442178 -0.2185824 -0.077732822
[47,] -0.71854913 7.730229e-01 0.34458438 -0.147442178 -0.2185824 0.172684870
[48,] -1.02308679 -1.490908e+00 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[49,] 0.65187031 -1.305773e+00 1.91321496 -0.147442178 4.4858640 1.591718458
[50,] 0.88027355 5.848502e-01 1.12889967 -0.147442178 -0.2185824 1.174355638
[51,] 0.65187031 -7.568347e-01 -0.43973091 -0.147442178 -0.2185824 1.591718458
[52,] 0.34733266 4.562027e-01 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[53,] 0.57573590 2.543437e-01 -2.79267677 -0.147442178 -0.2185824 -0.077732822
[54,] -0.26174265 -1.263020e+00 0.34458438 -0.147442178 -0.2185824 -0.077732822
[55,] 0.19506383 -4.015205e-01 -0.43973091 -0.147442178 -0.2185824 0.590047690
[56,] -0.64241472 -1.559666e-02 -0.43973091 0.529409763 -0.2185824 -0.077732822
[57,] -0.64241472 -1.233262e+00 1.12889967 0.177549368 -0.2185824 -0.077732822
[58,] 0.72800472 -3.800540e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[59,] 0.27119824 -6.924730e-01 2.30537260 -0.147442178 -0.2185824 0.339629998
[60,] -0.71854913 -7.969093e-01 -0.04757327 -0.147442178 -0.2185824 1.424773330
[61,] -0.18560824 -3.242392e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[62,] -0.79468355 -6.264693e-02 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[63,] 1.10867679 -1.888052e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[64,] 0.80413914 1.786193e-02 -0.04757327 -0.147442178 -0.2185824 0.756992818
[65,] -1.47989327 -8.356115e-01 -0.04757327 -0.147442178 -0.2185824 -0.745513334
[66,] -0.56628031 1.137499e+00 1.12889967 -0.147442178 -0.2185824 -0.077732822
[67,] -0.71854913 -2.602467e-01 1.12889967 -0.147442178 -0.2185824 2.426444097
[68,] -1.17535561 2.071325e-01 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[69,] 3.08817154 -6.156934e-01 -0.04757327 -0.147442178 -0.2185824 -1.747184101
[70,] -0.87081796 2.283624e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[71,] 0.11892942 -1.491485e+00 0.73674202 -0.147442178 -0.2185824 -0.077732822
[72,] -1.55602768 1.134281e+00 -1.22404620 -0.147442178 -0.2185824 -1.580238974
[73,] -0.56628031 -6.044963e-01 -2.40051913 -0.147442178 -0.2185824 -0.077732822
[74,] -1.55602768 2.432919e+00 -0.43973091 -0.147442178 -0.2185824 -0.912458462
[75,] 1.03254238 8.208114e-01 1.12889967 -0.147442178 -0.2185824 -0.077732822
[76,] 0.57573590 -1.307827e+00 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[77,] 1.56548327 -2.825934e-01 -0.43973091 -0.147442178 -0.2185824 0.590047690
[78,] 0.42346707 1.455682e+00 -0.43973091 1.789275204 -0.2185824 -0.077732822
[79,] 1.10867679 1.480878e+00 -0.43973091 -0.147442178 -0.2185824 -0.495095642
[80,] 0.80413914 7.424322e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[81,] -0.41401148 1.160135e-01 1.52105731 -0.147442178 -0.2185824 0.756992818
[82,] -0.64241472 -1.282120e+00 -2.00836149 -0.147442178 -0.2185824 -0.077732822
[83,] 0.34733266 2.092446e+00 2.30537260 -0.147442178 -0.2185824 0.756992818
[84,] 1.41321445 5.696306e-01 0.34458438 -0.147442178 -0.2185824 -0.077732822
[85,] -0.10947383 9.174959e-01 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[86,] -0.79468355 2.155090e-01 -0.04757327 -0.147442178 -0.2185824 -1.329821282
[87,] -0.33787707 3.454911e-01 1.12889967 -0.147442178 -0.2185824 -0.077732822
[88,] -0.71854913 -7.023828e-01 -0.04757327 -0.147442178 -0.2185824 0.756992818
[89,] 0.72800472 1.403809e-02 2.30537260 -0.147442178 4.4858640 1.591718458
[90,] -0.10947383 1.219953e-01 -0.04757327 -0.147442178 -0.2185824 0.590047690
[91,] 0.72800472 -1.769835e-01 0.73674202 -0.147442178 -0.2185824 -0.077732822
[92,] -0.49014589 5.642545e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[93,] 2.85976830 -6.209275e-01 1.52105731 -0.147442178 -0.2185824 -0.077732822
[94,] 0.42346707 8.034006e-02 1.12889967 1.881088354 -0.2185824 1.591718458
[95,] 0.65187031 -3.850136e-01 1.52105731 -0.147442178 -0.2185824 0.756992818
[96,] -1.40375886 -1.413906e-02 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[97,] -0.71854913 -8.174104e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[98,] -0.49014589 1.210247e+00 -0.43973091 0.890586492 -0.2185824 -0.077732822
[99,] -0.64241472 4.833907e-02 -1.22404620 -0.147442178 -0.2185824 -0.077732822
[100,] -0.56628031 -5.005386e-03 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[101,] 0.27119824 -6.161855e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[102,] -1.09922120 2.296028e+00 1.12889967 -0.147442178 -0.2185824 -0.077732822
[103,] -0.03333941 -1.178101e+00 1.91321496 -0.147442178 -0.2185824 -0.077732822
[104,] 1.33708003 1.380095e+00 -0.43973091 -0.147442178 4.4487627 0.756992818
[105,] -0.79468355 1.780122e+00 -0.04757327 0.401276411 -0.2185824 -1.329821282
[106,] -0.18560824 -8.227865e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[107,] 1.10867679 -8.910950e-01 -2.00836149 -0.147442178 -0.2185824 0.756992818
[108,] 1.33708003 1.072342e+00 -0.04757327 -0.147442178 -0.2185824 0.756992818
[109,] 0.80413914 7.171749e-02 0.34458438 -0.147442178 -0.2185824 -0.077732822
[110,] 1.26094562 5.466781e-01 -0.04757327 -0.147442178 -0.2185824 1.257828202
[111,] -1.25149003 -8.249823e-01 -0.43973091 -0.147442178 -0.2185824 0.005739742
[112,] -1.32762444 9.579632e-02 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[113,] 0.11892942 -6.714514e-01 1.12889967 -0.147442178 -0.2185824 1.591718458
[114,] -0.64241472 -1.066234e+00 1.12889967 -0.147442178 -0.2185824 -0.077732822
[115,] -0.71854913 7.401133e-01 1.12889967 -0.147442178 -0.2185824 0.756992818
[116,] -1.47989327 1.058296e+00 -0.04757327 -0.147442178 -0.2185824 -0.495095642
[117,] 0.65187031 9.278884e-01 1.12889967 -0.147442178 -0.2185824 -0.077732822
[118,] -1.40375886 -7.391826e-01 -0.04757327 -0.147442178 4.0332280 -1.079403590
[119,] -0.56628031 -7.085161e-01 0.73674202 -0.147442178 -0.2185824 -0.077732822
[120,] 0.04279500 1.665312e+00 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[121,] -0.79468355 -1.137430e+00 0.73674202 -0.147442178 -0.2185824 1.591718458
[122,] -1.09922120 -1.386339e+00 -0.43973091 -0.147442178 4.1395851 -0.077732822
[123,] -0.03333941 -6.512721e-01 -0.43973091 0.444752638 -0.2185824 -0.495095642
[124,] -0.10947383 6.096200e-01 1.12889967 -0.147442178 -0.2185824 0.756992818
[125,] 0.57573590 -4.126607e-01 0.73674202 -0.147442178 -0.2185824 -0.411623078
[126,] -0.03333941 -6.044395e-01 1.52105731 -0.147442178 -0.2185824 -0.077732822
[127,] 0.34733266 -1.257644e+00 -0.43973091 -0.147442178 -0.2185824 1.591718458
[128,] -0.87081796 -2.524002e-01 0.34458438 -0.147442178 -0.2185824 -0.495095642
[129,] -1.40375886 -1.471647e+00 -0.04757327 -0.147442178 -0.2185824 -1.747184101
[130,] 0.80413914 -1.020519e+00 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[131,] 1.71775210 -1.165891e+00 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[132,] -0.87081796 4.068808e-01 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[133,] -1.47989327 1.202751e+00 -0.04757327 -0.147442178 -0.2185824 -0.912458462
[134,] 0.49960148 6.426858e-02 0.34458438 -0.147442178 3.6498478 -0.077732822
[135,] 2.40296182 -7.990105e-01 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[136,] -0.56628031 -3.766893e-02 -0.43973091 -0.147442178 -0.2185824 -0.912458462
[137,] -1.25149003 -1.364830e-01 -0.04757327 -0.147442178 -0.2185824 -1.413293846
[138,] -0.18560824 -7.714012e-01 -0.43973091 -0.147442178 -0.2185824 -1.413293846
[139,] 1.94615534 -8.103732e-02 -1.22404620 -0.147442178 5.1710016 -0.077732822
[140,] 0.65187031 -3.582326e-02 -0.04757327 -0.147442178 -0.2185824 -0.244677950
[141,] -0.33787707 7.940303e-02 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[142,] -0.41401148 -2.535739e-01 1.12889967 -0.147442178 -0.2185824 -0.077732822
[143,] -1.32762444 1.006731e+00 -0.43973091 -0.147442178 -0.2185824 -0.495095642
[144,] 0.72800472 -1.967606e-02 -0.43973091 -0.147442178 -0.2185824 0.423102562
[145,] -1.17535561 2.342401e-01 1.12889967 -0.147442178 -0.2185824 -0.077732822
[146,] 2.47909624 2.881407e+00 -0.04757327 -0.147442178 4.2731498 -3.249690253
[147,] -0.71854913 1.648005e-02 -0.43973091 -0.147442178 -0.2185824 1.591718458
[148,] 0.27119824 3.659354e-01 1.12889967 -0.147442178 -0.2185824 0.756992818
[149,] -1.02308679 5.958958e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[150,] 0.42346707 -1.054583e+00 1.52105731 -0.147442178 -0.2185824 -0.077732822
[151,] -0.79468355 -9.595076e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[152,] 0.49960148 1.068230e-01 1.52105731 -0.147442178 -0.2185824 -0.077732822
[153,] -0.18560824 1.643415e-01 -0.04757327 -0.147442178 -0.2185824 -0.077732822
[154,] 0.04279500 4.324646e-01 0.73674202 -0.147442178 -0.2185824 0.089212306
[155,] 0.57573590 -8.250202e-01 1.52105731 -0.147442178 -0.2185824 -0.077732822
[156,] -1.55602768 -1.551928e+00 -1.22404620 -0.147442178 -0.2185824 -2.081074357
[157,] 2.09842417 -1.277464e+00 0.34458438 -0.147442178 -0.2185824 -1.747184101
[158,] -0.87081796 -6.137152e-01 -0.43973091 -0.147442178 4.6787908 -0.077732822
[159,] -0.79468355 -1.369468e-01 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[160,] 0.95640796 -8.871670e-01 -0.04757327 -0.147442178 4.6713706 -0.077732822
[161,] -0.87081796 2.254893e+00 1.12889967 -0.147442178 -0.2185824 0.756992818
[162,] -0.79468355 -3.802054e-01 1.12889967 -0.147442178 -0.2185824 -0.077732822
[163,] -0.87081796 6.059476e-01 -0.43973091 -0.147442178 -0.2185824 -1.329821282
[164,] -1.32762444 1.165724e+00 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[165,] -0.33787707 2.782536e+00 -0.43973091 -0.147442178 -0.2185824 -0.077732822
[166,] -1.55602768 -5.550089e-02 -0.43973091 -0.147442178 -0.2185824 -2.414964613
[ reached getOption("max.print") -- omitted 29996 rows ]x_train_categorical.x_train_categorical <- x_train %>% select_if(is.factor)
x_train_categoricalYou can use keras to_categorical for that. Encode every variable separately.
c(workclass, education, marital_status, occupation, relationship, race, sex, native_country) %<-%
map(x_train_categorical, compose(to_categorical, as.numeric))workclass[1:5, ] [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[1,] 0 0 0 0 0 0 1 0
[2,] 0 0 0 0 0 1 0 0
[3,] 0 0 0 1 0 0 0 0
[4,] 0 0 0 1 0 0 0 0
[5,] 0 0 0 1 0 0 0 0x_train_all <- cbind(x_train_continuous, workclass, education, marital_status, occupation, relationship, race, sex, native_country)dim(x_train_all)[1] 30162 112x_train_all[1:10, ] age fnlwgt education_num capital_gain capital_loss hours_per_week
[1,] 0.04279500 -1.0627040 1.1288997 0.1460899 -0.2185824 -0.07773282 0 0 0 0 0 0 1 0
[2,] 0.88027355 -1.0078546 1.1288997 -0.1474422 -0.2185824 -2.33149205 0 0 0 0 0 1 0 0
[3,] -0.03333941 0.2446894 -0.4397309 -0.1474422 -0.2185824 -0.07773282 0 0 0 1 0 0 0 0
[4,] 1.10867679 0.4252333 -1.2240462 -0.1474422 -0.2185824 -0.07773282 0 0 0 1 0 0 0 0
[5,] -0.79468355 1.4066350 1.1288997 -0.1474422 -0.2185824 -0.07773282 0 0 0 1 0 0 0 0
[6,] -0.10947383 0.8971652 1.5210573 -0.1474422 -0.2185824 -0.07773282 0 0 0 1 0 0 0 0
[7,] 0.80413914 -0.2802272 -2.0083615 -0.1474422 -0.2185824 -2.08107436 0 0 0 1 0 0 0 0
[8,] 1.03254238 0.1878619 -0.4397309 -0.1474422 -0.2185824 0.33963000 0 0 0 0 0 1 0 0
[1,] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
[2,] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
[3,] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0
[4,] 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
[5,] 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1
[6,] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1
[7,] 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0
[8,] 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0
[1,] 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[2,] 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[3,] 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[4,] 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[5,] 0 0 0 1 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[6,] 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[7,] 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[8,] 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[1,] 0 1 0 0
[2,] 0 1 0 0
[3,] 0 1 0 0
[4,] 0 1 0 0
[5,] 0 0 0 0
[6,] 0 1 0 0
[7,] 0 0 0 0
[8,] 0 1 0 0
[ reached getOption("max.print") -- omitted 2 rows ]model <- keras_model_sequential() %>%
layer_dense(units = 64, activation = "relu", input_shape = 112) %>%
layer_dropout(rate = 0.5) %>%
layer_dense(units = 64, activation = "relu") %>%
layer_dropout(rate = 0.5) %>%
layer_dense(units = 64, activation = "relu") %>%
layer_dropout(rate = 0.5) %>%
layer_dense(units = 1, activation = "sigmoid") model %>% compile(loss = "binary_crossentropy", optimizer = "adam", metrics = "accuracy")model %>% fit(
x = x_train_all,
y = y_train,
epochs = 20,
validation_split = 0.2
)Train on 24129 samples, validate on 6033 samples
Epoch 1/20
32/24129 [..............................] - ETA: 6:24 - loss: 0.7873 - acc: 0.4375
1152/24129 [>.............................] - ETA: 11s - loss: 0.6415 - acc: 0.6519
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23968/24129 [============================>.] - ETA: 0s - loss: 0.4117 - acc: 0.7999
24129/24129 [==============================] - 2s 102us/step - loss: 0.4113 - acc: 0.8002 - val_loss: 0.3279 - val_acc: 0.8455
Epoch 2/20
32/24129 [..............................] - ETA: 4s - loss: 0.2839 - acc: 0.8750
544/24129 [..............................] - ETA: 2s - loss: 0.3210 - acc: 0.8713
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24129/24129 [==============================] - 5s 210us/step - loss: 0.3478 - acc: 0.8398 - val_loss: 0.3204 - val_acc: 0.8475
Epoch 3/20
32/24129 [..............................] - ETA: 1s - loss: 0.3042 - acc: 0.9062
1088/24129 [>.............................] - ETA: 1s - loss: 0.3400 - acc: 0.8364
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24129/24129 [==============================] - 4s 173us/step - loss: 0.3394 - acc: 0.8462 - val_loss: 0.3176 - val_acc: 0.8512
Epoch 4/20
32/24129 [..............................] - ETA: 1s - loss: 0.2824 - acc: 0.8750
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24129/24129 [==============================] - 2s 75us/step - loss: 0.3338 - acc: 0.8483 - val_loss: 0.3171 - val_acc: 0.8531
Epoch 5/20
32/24129 [..............................] - ETA: 1s - loss: 0.2652 - acc: 0.8750
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24129/24129 [==============================] - 4s 166us/step - loss: 0.3281 - acc: 0.8506 - val_loss: 0.3140 - val_acc: 0.8540
Epoch 6/20
32/24129 [..............................] - ETA: 6s - loss: 0.2479 - acc: 0.9688
288/24129 [..............................] - ETA: 5s - loss: 0.3388 - acc: 0.8403
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24129/24129 [==============================] - 4s 181us/step - loss: 0.3270 - acc: 0.8536 - val_loss: 0.3163 - val_acc: 0.8515
Epoch 7/20
32/24129 [..............................] - ETA: 1s - loss: 0.2697 - acc: 0.8438
1120/24129 [>.............................] - ETA: 1s - loss: 0.3220 - acc: 0.8500
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24000/24129 [============================>.] - ETA: 0s - loss: 0.3269 - acc: 0.8542
24129/24129 [==============================] - 3s 108us/step - loss: 0.3270 - acc: 0.8541 - val_loss: 0.3165 - val_acc: 0.8525
Epoch 8/20
32/24129 [..............................] - ETA: 2s - loss: 0.3357 - acc: 0.8750
800/24129 [..............................] - ETA: 1s - loss: 0.2935 - acc: 0.8612
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24129/24129 [==============================] - 4s 146us/step - loss: 0.3218 - acc: 0.8540 - val_loss: 0.3173 - val_acc: 0.8533
Epoch 9/20
32/24129 [..............................] - ETA: 1s - loss: 0.2507 - acc: 0.9375
1088/24129 [>.............................] - ETA: 1s - loss: 0.3182 - acc: 0.8529
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24129/24129 [==============================] - 4s 175us/step - loss: 0.3221 - acc: 0.8542 - val_loss: 0.3167 - val_acc: 0.8538
Epoch 10/20
32/24129 [..............................] - ETA: 1s - loss: 0.1539 - acc: 0.9688
1024/24129 [>.............................] - ETA: 1s - loss: 0.3174 - acc: 0.8516
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24129/24129 [==============================] - 4s 174us/step - loss: 0.3217 - acc: 0.8550 - val_loss: 0.3181 - val_acc: 0.8566
Epoch 11/20
32/24129 [..............................] - ETA: 1s - loss: 0.2429 - acc: 0.9375
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24129/24129 [==============================] - 3s 109us/step - loss: 0.3180 - acc: 0.8555 - val_loss: 0.3158 - val_acc: 0.8528
Epoch 12/20
32/24129 [..............................] - ETA: 1s - loss: 0.2566 - acc: 0.8750
1120/24129 [>.............................] - ETA: 1s - loss: 0.3069 - acc: 0.8607
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24129/24129 [==============================] - 4s 160us/step - loss: 0.3214 - acc: 0.8561 - val_loss: 0.3148 - val_acc: 0.8558
Epoch 13/20
32/24129 [..............................] - ETA: 7s - loss: 0.5713 - acc: 0.6875
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24129/24129 [==============================] - 4s 153us/step - loss: 0.3213 - acc: 0.8549 - val_loss: 0.3141 - val_acc: 0.8525
Epoch 14/20
32/24129 [..............................] - ETA: 1s - loss: 0.2274 - acc: 0.9062
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24129/24129 [==============================] - 4s 175us/step - loss: 0.3164 - acc: 0.8553 - val_loss: 0.3150 - val_acc: 0.8548
Epoch 15/20
32/24129 [..............................] - ETA: 2s - loss: 0.2534 - acc: 0.8750
1152/24129 [>.............................] - ETA: 1s - loss: 0.3243 - acc: 0.8542
2240/24129 [=>............................] - ETA: 1s - loss: 0.3249 - acc: 0.8571
3360/24129 [===>..........................] - ETA: 0s - loss: 0.3223 - acc: 0.8554
4448/24129 [====>.........................] - ETA: 0s - loss: 0.3185 - acc: 0.8572
5504/24129 [=====>........................] - ETA: 0s - loss: 0.3268 - acc: 0.8523
6688/24129 [=======>......................] - ETA: 0s - loss: 0.3225 - acc: 0.8542
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19680/24129 [=======================>......] - ETA: 0s - loss: 0.3203 - acc: 0.8540
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20160/24129 [========================>.....] - ETA: 0s - loss: 0.3199 - acc: 0.8543
20320/24129 [========================>.....] - ETA: 0s - loss: 0.3200 - acc: 0.8543
20512/24129 [========================>.....] - ETA: 0s - loss: 0.3194 - acc: 0.8547
20704/24129 [========================>.....] - ETA: 0s - loss: 0.3189 - acc: 0.8549
21120/24129 [=========================>....] - ETA: 0s - loss: 0.3185 - acc: 0.8552
21696/24129 [=========================>....] - ETA: 0s - loss: 0.3166 - acc: 0.8561
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22848/24129 [===========================>..] - ETA: 0s - loss: 0.3176 - acc: 0.8559
23456/24129 [============================>.] - ETA: 0s - loss: 0.3166 - acc: 0.8562
24129/24129 [==============================] - 3s 143us/step - loss: 0.3161 - acc: 0.8569 - val_loss: 0.3161 - val_acc: 0.8545
Epoch 16/20
32/24129 [..............................] - ETA: 2s - loss: 0.3378 - acc: 0.8750
1056/24129 [>.............................] - ETA: 1s - loss: 0.3160 - acc: 0.8655
1984/24129 [=>............................] - ETA: 1s - loss: 0.3232 - acc: 0.8584
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3808/24129 [===>..........................] - ETA: 1s - loss: 0.3033 - acc: 0.8663
4064/24129 [====>.........................] - ETA: 2s - loss: 0.3036 - acc: 0.8659
4320/24129 [====>.........................] - ETA: 2s - loss: 0.3017 - acc: 0.8678
4576/24129 [====>.........................] - ETA: 2s - loss: 0.3024 - acc: 0.8658
4832/24129 [=====>........................] - ETA: 2s - loss: 0.3028 - acc: 0.8673
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15360/24129 [==================>...........] - ETA: 1s - loss: 0.3133 - acc: 0.8600
16064/24129 [==================>...........] - ETA: 1s - loss: 0.3144 - acc: 0.8602
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17248/24129 [====================>.........] - ETA: 1s - loss: 0.3143 - acc: 0.8596
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18720/24129 [======================>.......] - ETA: 0s - loss: 0.3158 - acc: 0.8590
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21184/24129 [=========================>....] - ETA: 0s - loss: 0.3159 - acc: 0.8595
21984/24129 [==========================>...] - ETA: 0s - loss: 0.3159 - acc: 0.8596
22624/24129 [===========================>..] - ETA: 0s - loss: 0.3163 - acc: 0.8597
23328/24129 [============================>.] - ETA: 0s - loss: 0.3161 - acc: 0.8596
24032/24129 [============================>.] - ETA: 0s - loss: 0.3167 - acc: 0.8592
24129/24129 [==============================] - 3s 143us/step - loss: 0.3166 - acc: 0.8593 - val_loss: 0.3154 - val_acc: 0.8525
Epoch 17/20
32/24129 [..............................] - ETA: 1s - loss: 0.1979 - acc: 0.9375
928/24129 [>.............................] - ETA: 1s - loss: 0.3070 - acc: 0.8653
2016/24129 [=>............................] - ETA: 1s - loss: 0.3100 - acc: 0.8676
3104/24129 [==>...........................] - ETA: 1s - loss: 0.3138 - acc: 0.8679
4160/24129 [====>.........................] - ETA: 0s - loss: 0.3144 - acc: 0.8637
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6592/24129 [=======>......................] - ETA: 1s - loss: 0.3182 - acc: 0.8582
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14464/24129 [================>.............] - ETA: 1s - loss: 0.3112 - acc: 0.8599
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22432/24129 [==========================>...] - ETA: 0s - loss: 0.3148 - acc: 0.8590
23264/24129 [===========================>..] - ETA: 0s - loss: 0.3153 - acc: 0.8586
23968/24129 [============================>.] - ETA: 0s - loss: 0.3154 - acc: 0.8584
24129/24129 [==============================] - 3s 112us/step - loss: 0.3154 - acc: 0.8585 - val_loss: 0.3172 - val_acc: 0.8533
Epoch 18/20
32/24129 [..............................] - ETA: 6s - loss: 0.1848 - acc: 0.9688
288/24129 [..............................] - ETA: 5s - loss: 0.2837 - acc: 0.8576
512/24129 [..............................] - ETA: 5s - loss: 0.2951 - acc: 0.8574
768/24129 [..............................] - ETA: 5s - loss: 0.3024 - acc: 0.8490
864/24129 [>.............................] - ETA: 6s - loss: 0.3204 - acc: 0.8403
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2016/24129 [=>............................] - ETA: 5s - loss: 0.3159 - acc: 0.8527
2272/24129 [=>............................] - ETA: 5s - loss: 0.3251 - acc: 0.8521
2528/24129 [==>...........................] - ETA: 5s - loss: 0.3212 - acc: 0.8536
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22016/24129 [==========================>...] - ETA: 0s - loss: 0.3118 - acc: 0.8584
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23328/24129 [============================>.] - ETA: 0s - loss: 0.3121 - acc: 0.8585
23552/24129 [============================>.] - ETA: 0s - loss: 0.3124 - acc: 0.8583
23680/24129 [============================>.] - ETA: 0s - loss: 0.3126 - acc: 0.8582
23904/24129 [============================>.] - ETA: 0s - loss: 0.3126 - acc: 0.8582
24128/24129 [============================>.] - ETA: 0s - loss: 0.3123 - acc: 0.8582
24129/24129 [==============================] - 5s 204us/step - loss: 0.3123 - acc: 0.8582 - val_loss: 0.3162 - val_acc: 0.8528
Epoch 19/20
32/24129 [..............................] - ETA: 2s - loss: 0.5145 - acc: 0.8438
1088/24129 [>.............................] - ETA: 1s - loss: 0.3065 - acc: 0.8640
2112/24129 [=>............................] - ETA: 1s - loss: 0.2982 - acc: 0.8660
3168/24129 [==>...........................] - ETA: 1s - loss: 0.3044 - acc: 0.8621
4288/24129 [====>.........................] - ETA: 0s - loss: 0.3076 - acc: 0.8633
5088/24129 [=====>........................] - ETA: 0s - loss: 0.3044 - acc: 0.8662
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14656/24129 [=================>............] - ETA: 1s - loss: 0.3163 - acc: 0.8593
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16064/24129 [==================>...........] - ETA: 0s - loss: 0.3159 - acc: 0.8593
16864/24129 [===================>..........] - ETA: 0s - loss: 0.3144 - acc: 0.8595
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20288/24129 [========================>.....] - ETA: 0s - loss: 0.3143 - acc: 0.8594
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23264/24129 [===========================>..] - ETA: 0s - loss: 0.3153 - acc: 0.8589
24096/24129 [============================>.] - ETA: 0s - loss: 0.3147 - acc: 0.8589
24129/24129 [==============================] - 3s 104us/step - loss: 0.3146 - acc: 0.8590 - val_loss: 0.3198 - val_acc: 0.8541
Epoch 20/20
32/24129 [..............................] - ETA: 2s - loss: 0.3963 - acc: 0.7812
1120/24129 [>.............................] - ETA: 1s - loss: 0.3109 - acc: 0.8571
2144/24129 [=>............................] - ETA: 1s - loss: 0.3163 - acc: 0.8559
3168/24129 [==>...........................] - ETA: 1s - loss: 0.3152 - acc: 0.8557
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5024/24129 [=====>........................] - ETA: 0s - loss: 0.3144 - acc: 0.8583
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24128/24129 [============================>.] - ETA: 0s - loss: 0.3142 - acc: 0.8580
24129/24129 [==============================] - 3s 108us/step - loss: 0.3142 - acc: 0.8580 - val_loss: 0.3163 - val_acc: 0.8575Note the final accuracy we got on the validation set: 0.8535.
Now go to 1_structureddata_quizzes.rmd where you will be asked to use the Functional API with these data.
On the same prediction task, use the Keras Functional API such that:
We’ve copied some common code for you from above so you don’t have to copy-paste the individual chunks.
library(keras)
library(readr)
library(dplyr)
Attaching package: ‘dplyr’
The following objects are masked from ‘package:stats’:
filter, lag
The following objects are masked from ‘package:base’:
intersect, setdiff, setequal, unionlibrary(ggplot2)
library(purrr)
use_session_with_seed(7777, disable_gpu = FALSE, disable_parallel_cpu = FALSE)2018-11-26 11:36:16.280697: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Set session seed to 7777train_data <- read_csv("data/adult.data",
col_names = c("age",
"workclass",
"fnlwgt",
"education",
"education_num",
"marital_status",
"occupation",
"relationship",
"race",
"sex",
"capital_gain",
"capital_loss",
"hours_per_week",
"native_country",
"salary"),
col_types = "iciciccccciiicc",
na = "?")
train_data <- na.omit(train_data)
y_train <- train_data$salary %>% factor() %>% as.numeric() - 1
x_train <- train_data %>%
select(-salary) %>%
mutate_if(is.character, factor)
x_train_continuous <- x_train %>% select_if(is.numeric)
x_train_continuous <- x_train_continuous %>% mutate_all(scale) %>% as.matrix()
x_train_categorical <- x_train %>% select_if(is.factor)
c(workclass, education, marital_status, occupation, relationship, race, sex, native_country) %<-%
map(x_train_categorical, compose(to_categorical, as.numeric))Now please continue from here.
input_continuous <- layer_input(shape = 6)
input_workclass <- layer_input(shape = 8)
input_education <- layer_input(shape = 17)
input_marital_status <- layer_input(shape = 8)
input_occupation <- layer_input(shape = 15)
input_relationship <- layer_input(shape = 7)
input_race <- layer_input(shape = 6)
input_sex <- layer_input(shape = 3)
input_native_country <- layer_input(shape = 42)
dense_continuous <- input_continuous %>% layer_dense(units = 64)
dense_workclass <- input_workclass %>% layer_dense(units = 64)
dense_education <- input_education %>% layer_dense(units = 64)
dense_marital_status <- input_marital_status %>% layer_dense(units = 64)
dense_occupation <- input_occupation %>% layer_dense(units = 64)
dense_relationship <- input_relationship %>% layer_dense(units = 64)
dense_race <- input_race %>% layer_dense(units = 64)
dense_sex <- input_sex %>% layer_dense(units = 64)
dense_native_country <- input_native_country %>% layer_dense(units = 64)
output <- layer_concatenate(
list(
dense_continuous,
dense_workclass,
dense_education,
dense_marital_status,
dense_occupation,
dense_relationship,
dense_race,
dense_sex,
dense_native_country
)
) %>%
layer_dropout(rate = 0.5) %>%
layer_dense(units = 64, activation = "relu") %>%
layer_dropout(rate = 0.5) %>%
layer_dense(units = 64, activation = "relu") %>%
layer_dropout(rate = 0.5) %>%
layer_dense(units = 1, activation = "sigmoid")
model <- keras_model(
inputs = list(
input_continuous,
input_workclass,
input_education,
input_marital_status,
input_occupation,
input_relationship,
input_race,
input_sex,
input_native_country
),
outputs = output
)
model %>% compile(loss = "binary_crossentropy", optimizer = "adam", metrics = "accuracy")
model %>% fit(
x = list(
x_train_continuous,
workclass,
education,
marital_status,
occupation,
relationship,
race,
sex,
native_country
),
y = y_train,
epochs = 20,
validation_split = 0.2
)Train on 24129 samples, validate on 6033 samples
Epoch 1/20
32/24129 [..............................] - ETA: 6:20 - loss: 0.8838 - acc: 0.2500
736/24129 [..............................] - ETA: 17s - loss: 0.6538 - acc: 0.6182
1536/24129 [>.............................] - ETA: 8s - loss: 0.5780 - acc: 0.6973
2272/24129 [=>............................] - ETA: 6s - loss: 0.5410 - acc: 0.7214
2976/24129 [==>...........................] - ETA: 5s - loss: 0.5202 - acc: 0.7329
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5280/24129 [=====>........................] - ETA: 3s - loss: 0.4701 - acc: 0.7631
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6656/24129 [=======>......................] - ETA: 2s - loss: 0.4537 - acc: 0.7743
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24096/24129 [============================>.] - ETA: 0s - loss: 0.3895 - acc: 0.8158
24129/24129 [==============================] - 2s 94us/step - loss: 0.3896 - acc: 0.8157 - val_loss: 0.3263 - val_acc: 0.8480
Epoch 2/20
32/24129 [..............................] - ETA: 2s - loss: 0.2877 - acc: 0.8438
832/24129 [>.............................] - ETA: 1s - loss: 0.3330 - acc: 0.8377
1600/24129 [>.............................] - ETA: 1s - loss: 0.3519 - acc: 0.8400
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24129/24129 [==============================] - 5s 216us/step - loss: 0.3510 - acc: 0.8390 - val_loss: 0.3268 - val_acc: 0.8470
Epoch 3/20
32/24129 [..............................] - ETA: 3s - loss: 0.5026 - acc: 0.7188
384/24129 [..............................] - ETA: 3s - loss: 0.3851 - acc: 0.8047
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24000/24129 [============================>.] - ETA: 0s - loss: 0.3420 - acc: 0.8433
24129/24129 [==============================] - 7s 306us/step - loss: 0.3426 - acc: 0.8431 - val_loss: 0.3163 - val_acc: 0.8492
Epoch 4/20
32/24129 [..............................] - ETA: 8s - loss: 0.2376 - acc: 0.9062
192/24129 [..............................] - ETA: 7s - loss: 0.2539 - acc: 0.8906
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24129/24129 [==============================] - 6s 255us/step - loss: 0.3396 - acc: 0.8450 - val_loss: 0.3210 - val_acc: 0.8508
Epoch 5/20
32/24129 [..............................] - ETA: 2s - loss: 0.2466 - acc: 0.9062
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24129/24129 [==============================] - 7s 271us/step - loss: 0.3364 - acc: 0.8483 - val_loss: 0.3198 - val_acc: 0.8531
Epoch 6/20
32/24129 [..............................] - ETA: 9s - loss: 0.2220 - acc: 0.9062
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24129/24129 [==============================] - 4s 152us/step - loss: 0.3347 - acc: 0.8478 - val_loss: 0.3209 - val_acc: 0.8515
Epoch 7/20
32/24129 [..............................] - ETA: 2s - loss: 0.2567 - acc: 0.9375
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23680/24129 [============================>.] - ETA: 0s - loss: 0.3317 - acc: 0.8482
24129/24129 [==============================] - 5s 214us/step - loss: 0.3316 - acc: 0.8487 - val_loss: 0.3163 - val_acc: 0.8533
Epoch 8/20
32/24129 [..............................] - ETA: 2s - loss: 0.3311 - acc: 0.8125
608/24129 [..............................] - ETA: 2s - loss: 0.3609 - acc: 0.8273
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22656/24129 [===========================>..] - ETA: 0s - loss: 0.3302 - acc: 0.8509
23104/24129 [===========================>..] - ETA: 0s - loss: 0.3301 - acc: 0.8508
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24096/24129 [============================>.] - ETA: 0s - loss: 0.3297 - acc: 0.8505
24129/24129 [==============================] - 5s 218us/step - loss: 0.3297 - acc: 0.8506 - val_loss: 0.3193 - val_acc: 0.8497
Epoch 9/20
32/24129 [..............................] - ETA: 2s - loss: 0.3593 - acc: 0.7500
576/24129 [..............................] - ETA: 2s - loss: 0.2983 - acc: 0.8524
1248/24129 [>.............................] - ETA: 1s - loss: 0.3122 - acc: 0.8494
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22720/24129 [===========================>..] - ETA: 0s - loss: 0.3294 - acc: 0.8477
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24064/24129 [============================>.] - ETA: 0s - loss: 0.3307 - acc: 0.8475
24129/24129 [==============================] - 4s 151us/step - loss: 0.3306 - acc: 0.8476 - val_loss: 0.3170 - val_acc: 0.8533
Epoch 10/20
32/24129 [..............................] - ETA: 9s - loss: 0.2378 - acc: 0.9062
576/24129 [..............................] - ETA: 2s - loss: 0.3381 - acc: 0.8524
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24129/24129 [==============================] - 5s 221us/step - loss: 0.3291 - acc: 0.8489 - val_loss: 0.3169 - val_acc: 0.8528
Epoch 11/20
32/24129 [..............................] - ETA: 2s - loss: 0.2390 - acc: 0.8750
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24129/24129 [==============================] - 5s 187us/step - loss: 0.3304 - acc: 0.8496 - val_loss: 0.3108 - val_acc: 0.8568
Epoch 12/20
32/24129 [..............................] - ETA: 5s - loss: 0.4148 - acc: 0.8750
480/24129 [..............................] - ETA: 2s - loss: 0.3666 - acc: 0.8396
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24129/24129 [==============================] - 9s 361us/step - loss: 0.3291 - acc: 0.8494 - val_loss: 0.3157 - val_acc: 0.8521
Epoch 13/20
32/24129 [..............................] - ETA: 2s - loss: 0.2816 - acc: 0.9062
448/24129 [..............................] - ETA: 2s - loss: 0.3354 - acc: 0.8348
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24129/24129 [==============================] - 7s 275us/step - loss: 0.3277 - acc: 0.8510 - val_loss: 0.3175 - val_acc: 0.8487
Epoch 14/20
32/24129 [..............................] - ETA: 2s - loss: 0.3486 - acc: 0.7500
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24129/24129 [==============================] - 6s 248us/step - loss: 0.3265 - acc: 0.8525 - val_loss: 0.3129 - val_acc: 0.8546
Epoch 15/20
32/24129 [..............................] - ETA: 2s - loss: 0.1244 - acc: 1.0000
640/24129 [..............................] - ETA: 2s - loss: 0.2838 - acc: 0.8766
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19520/24129 [=======================>......] - ETA: 0s - loss: 0.3258 - acc: 0.8526
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20384/24129 [========================>.....] - ETA: 0s - loss: 0.3259 - acc: 0.8525
20800/24129 [========================>.....] - ETA: 0s - loss: 0.3257 - acc: 0.8529
21312/24129 [=========================>....] - ETA: 0s - loss: 0.3259 - acc: 0.8523
21664/24129 [=========================>....] - ETA: 0s - loss: 0.3262 - acc: 0.8523
22176/24129 [==========================>...] - ETA: 0s - loss: 0.3258 - acc: 0.8522
22720/24129 [===========================>..] - ETA: 0s - loss: 0.3264 - acc: 0.8520
23200/24129 [===========================>..] - ETA: 0s - loss: 0.3270 - acc: 0.8521
23712/24129 [============================>.] - ETA: 0s - loss: 0.3270 - acc: 0.8517
24129/24129 [==============================] - 4s 145us/step - loss: 0.3268 - acc: 0.8517 - val_loss: 0.3168 - val_acc: 0.8536
Epoch 16/20
32/24129 [..............................] - ETA: 2s - loss: 0.3256 - acc: 0.8750
384/24129 [..............................] - ETA: 3s - loss: 0.2992 - acc: 0.8568
832/24129 [>.............................] - ETA: 2s - loss: 0.3255 - acc: 0.8438
1248/24129 [>.............................] - ETA: 2s - loss: 0.3234 - acc: 0.8413
1792/24129 [=>............................] - ETA: 2s - loss: 0.3270 - acc: 0.8510
2240/24129 [=>............................] - ETA: 2s - loss: 0.3338 - acc: 0.8433
2720/24129 [==>...........................] - ETA: 2s - loss: 0.3347 - acc: 0.8415
3104/24129 [==>...........................] - ETA: 2s - loss: 0.3353 - acc: 0.8402
3552/24129 [===>..........................] - ETA: 2s - loss: 0.3383 - acc: 0.8395
3968/24129 [===>..........................] - ETA: 2s - loss: 0.3376 - acc: 0.8395
4480/24129 [====>.........................] - ETA: 2s - loss: 0.3381 - acc: 0.8382
5024/24129 [=====>........................] - ETA: 2s - loss: 0.3296 - acc: 0.8430
5472/24129 [=====>........................] - ETA: 2s - loss: 0.3326 - acc: 0.8423
5984/24129 [======>.......................] - ETA: 2s - loss: 0.3297 - acc: 0.8453
6560/24129 [=======>......................] - ETA: 1s - loss: 0.3316 - acc: 0.8454
7040/24129 [=======>......................] - ETA: 1s - loss: 0.3322 - acc: 0.8440
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8000/24129 [========>.....................] - ETA: 1s - loss: 0.3292 - acc: 0.8468
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8960/24129 [==========>...................] - ETA: 1s - loss: 0.3294 - acc: 0.8473
9472/24129 [==========>...................] - ETA: 1s - loss: 0.3298 - acc: 0.8471
10048/24129 [===========>..................] - ETA: 1s - loss: 0.3299 - acc: 0.8486
10560/24129 [============>.................] - ETA: 1s - loss: 0.3291 - acc: 0.8487
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11648/24129 [=============>................] - ETA: 1s - loss: 0.3259 - acc: 0.8511
12160/24129 [==============>...............] - ETA: 1s - loss: 0.3248 - acc: 0.8518
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13760/24129 [================>.............] - ETA: 1s - loss: 0.3258 - acc: 0.8519
14272/24129 [================>.............] - ETA: 1s - loss: 0.3276 - acc: 0.8511
14752/24129 [=================>............] - ETA: 1s - loss: 0.3274 - acc: 0.8508
15232/24129 [=================>............] - ETA: 0s - loss: 0.3264 - acc: 0.8510
15808/24129 [==================>...........] - ETA: 0s - loss: 0.3266 - acc: 0.8506
16288/24129 [===================>..........] - ETA: 0s - loss: 0.3253 - acc: 0.8513
16800/24129 [===================>..........] - ETA: 0s - loss: 0.3247 - acc: 0.8516
17344/24129 [====================>.........] - ETA: 0s - loss: 0.3247 - acc: 0.8521
17824/24129 [=====================>........] - ETA: 0s - loss: 0.3236 - acc: 0.8527
18304/24129 [=====================>........] - ETA: 0s - loss: 0.3232 - acc: 0.8527
18880/24129 [======================>.......] - ETA: 0s - loss: 0.3236 - acc: 0.8529
19424/24129 [=======================>......] - ETA: 0s - loss: 0.3246 - acc: 0.8524
19904/24129 [=======================>......] - ETA: 0s - loss: 0.3247 - acc: 0.8526
20384/24129 [========================>.....] - ETA: 0s - loss: 0.3249 - acc: 0.8528
20928/24129 [=========================>....] - ETA: 0s - loss: 0.3254 - acc: 0.8527
21440/24129 [=========================>....] - ETA: 0s - loss: 0.3255 - acc: 0.8525
21952/24129 [==========================>...] - ETA: 0s - loss: 0.3252 - acc: 0.8525
22528/24129 [===========================>..] - ETA: 0s - loss: 0.3254 - acc: 0.8523
23104/24129 [===========================>..] - ETA: 0s - loss: 0.3257 - acc: 0.8520
23616/24129 [============================>.] - ETA: 0s - loss: 0.3261 - acc: 0.8520
24129/24129 [==============================] - 3s 110us/step - loss: 0.3259 - acc: 0.8521 - val_loss: 0.3156 - val_acc: 0.8528
Epoch 17/20
32/24129 [..............................] - ETA: 2s - loss: 0.2246 - acc: 0.9375
544/24129 [..............................] - ETA: 2s - loss: 0.3300 - acc: 0.8566
992/24129 [>.............................] - ETA: 2s - loss: 0.3325 - acc: 0.8558
1600/24129 [>.............................] - ETA: 2s - loss: 0.3359 - acc: 0.8550
1792/24129 [=>............................] - ETA: 2s - loss: 0.3359 - acc: 0.8510
1952/24129 [=>............................] - ETA: 3s - loss: 0.3318 - acc: 0.8545
2048/24129 [=>............................] - ETA: 3s - loss: 0.3301 - acc: 0.8550
2144/24129 [=>............................] - ETA: 4s - loss: 0.3282 - acc: 0.8545
2304/24129 [=>............................] - ETA: 4s - loss: 0.3275 - acc: 0.8546
2464/24129 [==>...........................] - ETA: 4s - loss: 0.3286 - acc: 0.8531
2560/24129 [==>...........................] - ETA: 6s - loss: 0.3303 - acc: 0.8527
2688/24129 [==>...........................] - ETA: 7s - loss: 0.3300 - acc: 0.8542
2816/24129 [==>...........................] - ETA: 7s - loss: 0.3316 - acc: 0.8537
2944/24129 [==>...........................] - ETA: 7s - loss: 0.3336 - acc: 0.8512
3008/24129 [==>...........................] - ETA: 7s - loss: 0.3328 - acc: 0.8521
3168/24129 [==>...........................] - ETA: 7s - loss: 0.3335 - acc: 0.8494
3264/24129 [===>..........................] - ETA: 7s - loss: 0.3384 - acc: 0.8462
3456/24129 [===>..........................] - ETA: 7s - loss: 0.3374 - acc: 0.8472
3776/24129 [===>..........................] - ETA: 6s - loss: 0.3369 - acc: 0.8467
4224/24129 [====>.........................] - ETA: 6s - loss: 0.3331 - acc: 0.8490
4640/24129 [====>.........................] - ETA: 5s - loss: 0.3319 - acc: 0.8481
5088/24129 [=====>........................] - ETA: 5s - loss: 0.3321 - acc: 0.8465
5536/24129 [=====>........................] - ETA: 4s - loss: 0.3325 - acc: 0.8456
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11712/24129 [=============>................] - ETA: 2s - loss: 0.3309 - acc: 0.8491
12256/24129 [==============>...............] - ETA: 2s - loss: 0.3305 - acc: 0.8500
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13248/24129 [===============>..............] - ETA: 1s - loss: 0.3269 - acc: 0.8522
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14240/24129 [================>.............] - ETA: 1s - loss: 0.3275 - acc: 0.8518
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15136/24129 [=================>............] - ETA: 1s - loss: 0.3265 - acc: 0.8515
15648/24129 [==================>...........] - ETA: 1s - loss: 0.3267 - acc: 0.8514
16128/24129 [===================>..........] - ETA: 1s - loss: 0.3278 - acc: 0.8508
16640/24129 [===================>..........] - ETA: 1s - loss: 0.3274 - acc: 0.8511
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17600/24129 [====================>.........] - ETA: 1s - loss: 0.3280 - acc: 0.8512
18016/24129 [=====================>........] - ETA: 0s - loss: 0.3272 - acc: 0.8514
18432/24129 [=====================>........] - ETA: 0s - loss: 0.3261 - acc: 0.8517
18944/24129 [======================>.......] - ETA: 0s - loss: 0.3251 - acc: 0.8521
19424/24129 [=======================>......] - ETA: 0s - loss: 0.3250 - acc: 0.8517
20000/24129 [=======================>......] - ETA: 0s - loss: 0.3248 - acc: 0.8512
20480/24129 [========================>.....] - ETA: 0s - loss: 0.3259 - acc: 0.8515
20864/24129 [========================>.....] - ETA: 0s - loss: 0.3255 - acc: 0.8514
21408/24129 [=========================>....] - ETA: 0s - loss: 0.3247 - acc: 0.8521
21888/24129 [==========================>...] - ETA: 0s - loss: 0.3248 - acc: 0.8527
22432/24129 [==========================>...] - ETA: 0s - loss: 0.3255 - acc: 0.8525
22976/24129 [===========================>..] - ETA: 0s - loss: 0.3261 - acc: 0.8521
23488/24129 [============================>.] - ETA: 0s - loss: 0.3262 - acc: 0.8516
24032/24129 [============================>.] - ETA: 0s - loss: 0.3263 - acc: 0.8517
24129/24129 [==============================] - 4s 151us/step - loss: 0.3261 - acc: 0.8518 - val_loss: 0.3155 - val_acc: 0.8541
Epoch 18/20
32/24129 [..............................] - ETA: 2s - loss: 0.2029 - acc: 0.9062
544/24129 [..............................] - ETA: 2s - loss: 0.3027 - acc: 0.8603
1056/24129 [>.............................] - ETA: 2s - loss: 0.3069 - acc: 0.8693
1632/24129 [=>............................] - ETA: 2s - loss: 0.3161 - acc: 0.8585
2240/24129 [=>............................] - ETA: 2s - loss: 0.3165 - acc: 0.8567
2816/24129 [==>...........................] - ETA: 1s - loss: 0.3228 - acc: 0.8526
3360/24129 [===>..........................] - ETA: 1s - loss: 0.3202 - acc: 0.8545
3872/24129 [===>..........................] - ETA: 1s - loss: 0.3200 - acc: 0.8536
4288/24129 [====>.........................] - ETA: 1s - loss: 0.3220 - acc: 0.8519
4768/24129 [====>.........................] - ETA: 1s - loss: 0.3175 - acc: 0.8532
5280/24129 [=====>........................] - ETA: 1s - loss: 0.3137 - acc: 0.8557
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6880/24129 [=======>......................] - ETA: 1s - loss: 0.3199 - acc: 0.8533
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21056/24129 [=========================>....] - ETA: 0s - loss: 0.3212 - acc: 0.8536
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21280/24129 [=========================>....] - ETA: 0s - loss: 0.3217 - acc: 0.8532
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21536/24129 [=========================>....] - ETA: 0s - loss: 0.3215 - acc: 0.8534
21664/24129 [=========================>....] - ETA: 0s - loss: 0.3213 - acc: 0.8534
21728/24129 [==========================>...] - ETA: 0s - loss: 0.3211 - acc: 0.8535
22112/24129 [==========================>...] - ETA: 0s - loss: 0.3216 - acc: 0.8532
22400/24129 [==========================>...] - ETA: 0s - loss: 0.3221 - acc: 0.8529
22752/24129 [===========================>..] - ETA: 0s - loss: 0.3228 - acc: 0.8524
23264/24129 [===========================>..] - ETA: 0s - loss: 0.3229 - acc: 0.8525
23584/24129 [============================>.] - ETA: 0s - loss: 0.3230 - acc: 0.8521
23968/24129 [============================>.] - ETA: 0s - loss: 0.3230 - acc: 0.8521
24129/24129 [==============================] - 4s 165us/step - loss: 0.3231 - acc: 0.8521 - val_loss: 0.3174 - val_acc: 0.8526
Epoch 19/20
32/24129 [..............................] - ETA: 8s - loss: 0.2275 - acc: 0.9375
224/24129 [..............................] - ETA: 7s - loss: 0.2953 - acc: 0.8750
416/24129 [..............................] - ETA: 7s - loss: 0.3103 - acc: 0.8726
544/24129 [..............................] - ETA: 7s - loss: 0.3072 - acc: 0.8713
672/24129 [..............................] - ETA: 8s - loss: 0.3053 - acc: 0.8795
800/24129 [..............................] - ETA: 8s - loss: 0.3038 - acc: 0.8775
1088/24129 [>.............................] - ETA: 7s - loss: 0.3083 - acc: 0.8732
1728/24129 [=>............................] - ETA: 4s - loss: 0.3078 - acc: 0.8744
2304/24129 [=>............................] - ETA: 4s - loss: 0.3132 - acc: 0.8646
2976/24129 [==>...........................] - ETA: 3s - loss: 0.3142 - acc: 0.8632
3648/24129 [===>..........................] - ETA: 3s - loss: 0.3198 - acc: 0.8692
4256/24129 [====>.........................] - ETA: 2s - loss: 0.3208 - acc: 0.8661
4832/24129 [=====>........................] - ETA: 2s - loss: 0.3221 - acc: 0.8620
5088/24129 [=====>........................] - ETA: 2s - loss: 0.3239 - acc: 0.8603
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Epoch 20/20
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24129/24129 [==============================] - 8s 349us/step - loss: 0.3233 - acc: 0.8524 - val_loss: 0.3176 - val_acc: 0.8510Modify your model to also predict age. That is, remove age from the predictors and use it as a second target, together with salary.
We’ve copied some reusable code for you from above so you don’t have to copy-paste the individual chunks.
library(keras)
library(readr)
library(dplyr)
Attaching package: ‘dplyr’
The following objects are masked from ‘package:stats’:
filter, lag
The following objects are masked from ‘package:base’:
intersect, setdiff, setequal, unionlibrary(ggplot2)
library(purrr)
use_session_with_seed(7777, disable_gpu = FALSE, disable_parallel_cpu = FALSE)2018-11-26 11:38:37.737828: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
Set session seed to 7777train_data <- read_csv("data/adult.data",
col_names = c("age",
"workclass",
"fnlwgt",
"education",
"education_num",
"marital_status",
"occupation",
"relationship",
"race",
"sex",
"capital_gain",
"capital_loss",
"hours_per_week",
"native_country",
"salary"),
col_types = "iciciccccciiicc",
na = "?")
train_data <- na.omit(train_data)Now please continue from here.
y_train_salary <- train_data$salary %>% factor() %>% as.numeric() - 1
y_train_age <- train_data$age %>% as.matrix()
x_train <- train_data %>%
select(-c(salary, age)) %>%
mutate_if(is.character, factor)
x_train_continuous <- x_train %>% select_if(is.numeric)
x_train_continuous <- x_train_continuous %>% mutate_all(scale) %>% as.matrix()
x_train_categorical <- x_train %>% select_if(is.factor)
c(workclass, education, marital_status, occupation, relationship, race, sex, native_country) %<-%
map(x_train_categorical, compose(to_categorical, as.numeric))
input_continuous <- layer_input(shape = 5)
input_workclass <- layer_input(shape = 8)
input_education <- layer_input(shape = 17)
input_marital_status <- layer_input(shape = 8)
input_occupation <- layer_input(shape = 15)
input_relationship <- layer_input(shape = 7)
input_race <- layer_input(shape = 6)
input_sex <- layer_input(shape = 3)
input_native_country <- layer_input(shape = 42)
dense_continuous <- input_continuous %>% layer_dense(units = 64)
dense_workclass <- input_workclass %>% layer_dense(units = 64)
dense_education <- input_education %>% layer_dense(units = 64)
dense_marital_status <- input_marital_status %>% layer_dense(units = 64)
dense_occupation <- input_occupation %>% layer_dense(units = 64)
dense_relationship <- input_relationship %>% layer_dense(units = 64)
dense_race <- input_race %>% layer_dense(units = 64)
dense_sex <- input_sex %>% layer_dense(units = 64)
dense_native_country <- input_native_country %>% layer_dense(units = 64)
common <- layer_concatenate(
list(
dense_continuous,
dense_workclass,
dense_education,
dense_marital_status,
dense_occupation,
dense_relationship,
dense_race,
dense_sex,
dense_native_country
)
) %>%
layer_dropout(rate = 0.5) %>%
layer_dense(units = 64, activation = "relu") %>%
layer_dropout(rate = 0.5) %>%
layer_dense(units = 64, activation = "relu") %>%
layer_dropout(rate = 0.5)
output_salary <- common %>%
layer_dense(units = 1, activation = "sigmoid", name = "output_salary")
output_age <- common %>% layer_dense(units = 1, name = "output_age")
model <- keras_model(
inputs = list(
input_continuous,
input_workclass,
input_education,
input_marital_status,
input_occupation,
input_relationship,
input_race,
input_sex,
input_native_country
),
outputs = list(
output_salary,
output_age
)
)
model %>% compile(
loss = list(output_salary = "binary_crossentropy", output_age = "mse"),
optimizer = "adam",
metrics = list(output_salary = "accuracy", output_age = "mse"))
model %>% fit(
x = list(
x_train_continuous,
workclass,
education,
marital_status,
occupation,
relationship,
race,
sex,
native_country
),
y = list(y_train_salary, y_train_age),
epochs = 20,
validation_split = 0.2
)Train on 24129 samples, validate on 6033 samples
Epoch 1/20
32/24129 [..............................] - ETA: 8:57 - loss: 1488.7677 - output_salary_loss: 0.7933 - output_age_loss: 1487.9745 - output_salary_acc: 0.3750 - output_age_mean_squared_error: 1487.9745
704/24129 [..............................] - ETA: 25s - loss: 1460.5085 - output_salary_loss: 0.9353 - output_age_loss: 1459.5732 - output_salary_acc: 0.3565 - output_age_mean_squared_error: 1459.5732
1408/24129 [>.............................] - ETA: 13s - loss: 1182.7520 - output_salary_loss: 1.3468 - output_age_loss: 1181.4052 - output_salary_acc: 0.4219 - output_age_mean_squared_error: 1181.4052
2144/24129 [=>............................] - ETA: 8s - loss: 894.9929 - output_salary_loss: 1.7324 - output_age_loss: 893.2605 - output_salary_acc: 0.4776 - output_age_mean_squared_error: 893.2605
2880/24129 [==>...........................] - ETA: 6s - loss: 753.5666 - output_salary_loss: 1.8774 - output_age_loss: 751.6891 - output_salary_acc: 0.5194 - output_age_mean_squared_error: 751.6891
3616/24129 [===>..........................] - ETA: 5s - loss: 654.5490 - output_salary_loss: 1.9685 - output_age_loss: 652.5805 - output_salary_acc: 0.5442 - output_age_mean_squared_error: 652.5805
4256/24129 [====>.........................] - ETA: 4s - loss: 596.8549 - output_salary_loss: 1.9658 - output_age_loss: 594.8891 - output_salary_acc: 0.5569 - output_age_mean_squared_error: 594.8891
4960/24129 [=====>........................] - ETA: 4s - loss: 547.2807 - output_salary_loss: 1.9667 - output_age_loss: 545.3140 - output_salary_acc: 0.5621 - output_age_mean_squared_error: 545.3140
5696/24129 [======>.......................] - ETA: 3s - loss: 504.5745 - output_salary_loss: 1.9704 - output_age_loss: 502.6040 - output_salary_acc: 0.5734 - output_age_mean_squared_error: 502.6040
6400/24129 [======>.......................] - ETA: 3s - loss: 471.4600 - output_salary_loss: 1.9644 - output_age_loss: 469.4956 - output_salary_acc: 0.5791 - output_age_mean_squared_error: 469.4956
7104/24129 [=======>......................] - ETA: 2s - loss: 447.9892 - output_salary_loss: 1.9357 - output_age_loss: 446.0535 - output_salary_acc: 0.5825 - output_age_mean_squared_error: 446.0535
7840/24129 [========>.....................] - ETA: 2s - loss: 425.9032 - output_salary_loss: 1.9016 - output_age_loss: 424.0016 - output_salary_acc: 0.5893 - output_age_mean_squared_error: 424.0016
8576/24129 [=========>....................] - ETA: 2s - loss: 408.3392 - output_salary_loss: 1.8777 - output_age_loss: 406.4614 - output_salary_acc: 0.5920 - output_age_mean_squared_error: 406.4614
9280/24129 [==========>...................] - ETA: 2s - loss: 394.0386 - output_salary_loss: 1.8404 - output_age_loss: 392.1982 - output_salary_acc: 0.5939 - output_age_mean_squared_error: 392.1982
9984/24129 [===========>..................] - ETA: 2s - loss: 379.7123 - output_salary_loss: 1.8073 - output_age_loss: 377.9050 - output_salary_acc: 0.5965 - output_age_mean_squared_error: 377.9050
10688/24129 [============>.................] - ETA: 1s - loss: 368.7667 - output_salary_loss: 1.7771 - output_age_loss: 366.9896 - output_salary_acc: 0.5971 - output_age_mean_squared_error: 366.9896
11424/24129 [=============>................] - ETA: 1s - loss: 357.8719 - output_salary_loss: 1.7438 - output_age_loss: 356.1281 - output_salary_acc: 0.5997 - output_age_mean_squared_error: 356.1281
12160/24129 [==============>...............] - ETA: 1s - loss: 348.6169 - output_salary_loss: 1.7075 - output_age_loss: 346.9094 - output_salary_acc: 0.5988 - output_age_mean_squared_error: 346.9094
12896/24129 [===============>..............] - ETA: 1s - loss: 340.6787 - output_salary_loss: 1.6716 - output_age_loss: 339.0071 - output_salary_acc: 0.5995 - output_age_mean_squared_error: 339.0071
13600/24129 [===============>..............] - ETA: 1s - loss: 333.3032 - output_salary_loss: 1.6373 - output_age_loss: 331.6659 - output_salary_acc: 0.6019 - output_age_mean_squared_error: 331.6659
14240/24129 [================>.............] - ETA: 1s - loss: 328.1157 - output_salary_loss: 1.6068 - output_age_loss: 326.5089 - output_salary_acc: 0.6041 - output_age_mean_squared_error: 326.5089
14976/24129 [=================>............] - ETA: 1s - loss: 321.6423 - output_salary_loss: 1.5708 - output_age_loss: 320.0715 - output_salary_acc: 0.6052 - output_age_mean_squared_error: 320.0715
15744/24129 [==================>...........] - ETA: 0s - loss: 315.9319 - output_salary_loss: 1.5334 - output_age_loss: 314.3985 - output_salary_acc: 0.6079 - output_age_mean_squared_error: 314.3985
16480/24129 [===================>..........] - ETA: 0s - loss: 310.4344 - output_salary_loss: 1.5009 - output_age_loss: 308.9335 - output_salary_acc: 0.6112 - output_age_mean_squared_error: 308.9335
17152/24129 [====================>.........] - ETA: 0s - loss: 305.5414 - output_salary_loss: 1.4707 - output_age_loss: 304.0707 - output_salary_acc: 0.6119 - output_age_mean_squared_error: 304.0707
17856/24129 [=====================>........] - ETA: 0s - loss: 300.9358 - output_salary_loss: 1.4415 - output_age_loss: 299.4942 - output_salary_acc: 0.6144 - output_age_mean_squared_error: 299.4942
18592/24129 [======================>.......] - ETA: 0s - loss: 297.1280 - output_salary_loss: 1.4101 - output_age_loss: 295.7179 - output_salary_acc: 0.6173 - output_age_mean_squared_error: 295.7179
19328/24129 [=======================>......] - ETA: 0s - loss: 293.0424 - output_salary_loss: 1.3822 - output_age_loss: 291.6602 - output_salary_acc: 0.6206 - output_age_mean_squared_error: 291.6602
20000/24129 [=======================>......] - ETA: 0s - loss: 289.2824 - output_salary_loss: 1.3580 - output_age_loss: 287.9245 - output_salary_acc: 0.6229 - output_age_mean_squared_error: 287.9245
20384/24129 [========================>.....] - ETA: 0s - loss: 287.8943 - output_salary_loss: 1.3428 - output_age_loss: 286.5515 - output_salary_acc: 0.6258 - output_age_mean_squared_error: 286.5515
21088/24129 [=========================>....] - ETA: 0s - loss: 284.8575 - output_salary_loss: 1.3181 - output_age_loss: 283.5394 - output_salary_acc: 0.6299 - output_age_mean_squared_error: 283.5394
21856/24129 [==========================>...] - ETA: 0s - loss: 281.7423 - output_salary_loss: 1.2935 - output_age_loss: 280.4488 - output_salary_acc: 0.6336 - output_age_mean_squared_error: 280.4488
22560/24129 [===========================>..] - ETA: 0s - loss: 278.5167 - output_salary_loss: 1.2728 - output_age_loss: 277.2439 - output_salary_acc: 0.6363 - output_age_mean_squared_error: 277.2439
23296/24129 [===========================>..] - ETA: 0s - loss: 275.9523 - output_salary_loss: 1.2517 - output_age_loss: 274.7006 - output_salary_acc: 0.6393 - output_age_mean_squared_error: 274.7006
24000/24129 [============================>.] - ETA: 0s - loss: 273.9053 - output_salary_loss: 1.2328 - output_age_loss: 272.6725 - output_salary_acc: 0.6430 - output_age_mean_squared_error: 272.6725
24129/24129 [==============================] - 3s 109us/step - loss: 273.5102 - output_salary_loss: 1.2296 - output_age_loss: 272.2806 - output_salary_acc: 0.6433 - output_age_mean_squared_error: 272.2806 - val_loss: 101.3611 - val_output_salary_loss: 0.5876 - val_output_age_loss: 100.7735 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 100.7735
Epoch 2/20
32/24129 [..............................] - ETA: 2s - loss: 101.0821 - output_salary_loss: 0.6200 - output_age_loss: 100.4620 - output_salary_acc: 0.7188 - output_age_mean_squared_error: 100.4620
768/24129 [..............................] - ETA: 1s - loss: 190.9918 - output_salary_loss: 0.6225 - output_age_loss: 190.3693 - output_salary_acc: 0.7188 - output_age_mean_squared_error: 190.3693
1504/24129 [>.............................] - ETA: 1s - loss: 193.8046 - output_salary_loss: 0.6141 - output_age_loss: 193.1905 - output_salary_acc: 0.7367 - output_age_mean_squared_error: 193.1905
2176/24129 [=>............................] - ETA: 1s - loss: 195.8141 - output_salary_loss: 0.6073 - output_age_loss: 195.2069 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 195.2069
2912/24129 [==>...........................] - ETA: 1s - loss: 197.1340 - output_salary_loss: 0.6079 - output_age_loss: 196.5261 - output_salary_acc: 0.7431 - output_age_mean_squared_error: 196.5261
3648/24129 [===>..........................] - ETA: 1s - loss: 196.0990 - output_salary_loss: 0.6052 - output_age_loss: 195.4938 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 195.4938
4416/24129 [====>.........................] - ETA: 1s - loss: 196.1840 - output_salary_loss: 0.6057 - output_age_loss: 195.5783 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 195.5783
5152/24129 [=====>........................] - ETA: 1s - loss: 195.1532 - output_salary_loss: 0.6048 - output_age_loss: 194.5484 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 194.5484
5760/24129 [======>.......................] - ETA: 1s - loss: 193.2365 - output_salary_loss: 0.6020 - output_age_loss: 192.6345 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 192.6345
6240/24129 [======>.......................] - ETA: 1s - loss: 193.1691 - output_salary_loss: 0.6028 - output_age_loss: 192.5663 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 192.5663
6784/24129 [=======>......................] - ETA: 1s - loss: 193.2293 - output_salary_loss: 0.6038 - output_age_loss: 192.6255 - output_salary_acc: 0.7431 - output_age_mean_squared_error: 192.6255
7328/24129 [========>.....................] - ETA: 1s - loss: 192.3611 - output_salary_loss: 0.6040 - output_age_loss: 191.7571 - output_salary_acc: 0.7428 - output_age_mean_squared_error: 191.7571
8032/24129 [========>.....................] - ETA: 1s - loss: 189.9357 - output_salary_loss: 0.6037 - output_age_loss: 189.3319 - output_salary_acc: 0.7432 - output_age_mean_squared_error: 189.3319
8512/24129 [=========>....................] - ETA: 1s - loss: 189.7246 - output_salary_loss: 0.6017 - output_age_loss: 189.1229 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 189.1229
8800/24129 [=========>....................] - ETA: 1s - loss: 191.7817 - output_salary_loss: 0.5999 - output_age_loss: 191.1819 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 191.1819
9152/24129 [==========>...................] - ETA: 1s - loss: 191.6204 - output_salary_loss: 0.5967 - output_age_loss: 191.0236 - output_salary_acc: 0.7489 - output_age_mean_squared_error: 191.0236
9568/24129 [==========>...................] - ETA: 1s - loss: 190.6917 - output_salary_loss: 0.5968 - output_age_loss: 190.0949 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 190.0949
9984/24129 [===========>..................] - ETA: 1s - loss: 191.1959 - output_salary_loss: 0.5961 - output_age_loss: 190.5998 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 190.5998
10432/24129 [===========>..................] - ETA: 1s - loss: 191.4802 - output_salary_loss: 0.5969 - output_age_loss: 190.8833 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 190.8833
10816/24129 [============>.................] - ETA: 1s - loss: 190.7267 - output_salary_loss: 0.5951 - output_age_loss: 190.1315 - output_salary_acc: 0.7494 - output_age_mean_squared_error: 190.1315
11200/24129 [============>.................] - ETA: 1s - loss: 190.1607 - output_salary_loss: 0.5960 - output_age_loss: 189.5647 - output_salary_acc: 0.7488 - output_age_mean_squared_error: 189.5647
11648/24129 [=============>................] - ETA: 1s - loss: 189.9313 - output_salary_loss: 0.5946 - output_age_loss: 189.3367 - output_salary_acc: 0.7497 - output_age_mean_squared_error: 189.3367
11936/24129 [=============>................] - ETA: 1s - loss: 189.6876 - output_salary_loss: 0.5950 - output_age_loss: 189.0926 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 189.0926
12064/24129 [=============>................] - ETA: 1s - loss: 189.5359 - output_salary_loss: 0.5954 - output_age_loss: 188.9405 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 188.9405
12128/24129 [==============>...............] - ETA: 1s - loss: 189.4341 - output_salary_loss: 0.5952 - output_age_loss: 188.8388 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 188.8388
12288/24129 [==============>...............] - ETA: 1s - loss: 189.6118 - output_salary_loss: 0.5954 - output_age_loss: 189.0164 - output_salary_acc: 0.7491 - output_age_mean_squared_error: 189.0164
12352/24129 [==============>...............] - ETA: 1s - loss: 189.3445 - output_salary_loss: 0.5951 - output_age_loss: 188.7494 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 188.7494
12480/24129 [==============>...............] - ETA: 1s - loss: 189.6933 - output_salary_loss: 0.5954 - output_age_loss: 189.0979 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 189.0979
12576/24129 [==============>...............] - ETA: 1s - loss: 189.7435 - output_salary_loss: 0.5952 - output_age_loss: 189.1482 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 189.1482
12672/24129 [==============>...............] - ETA: 1s - loss: 189.9453 - output_salary_loss: 0.5955 - output_age_loss: 189.3498 - output_salary_acc: 0.7489 - output_age_mean_squared_error: 189.3498
12768/24129 [==============>...............] - ETA: 1s - loss: 189.8730 - output_salary_loss: 0.5948 - output_age_loss: 189.2782 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 189.2782
12896/24129 [===============>..............] - ETA: 1s - loss: 189.8459 - output_salary_loss: 0.5951 - output_age_loss: 189.2508 - output_salary_acc: 0.7491 - output_age_mean_squared_error: 189.2508
12960/24129 [===============>..............] - ETA: 1s - loss: 189.8201 - output_salary_loss: 0.5949 - output_age_loss: 189.2253 - output_salary_acc: 0.7494 - output_age_mean_squared_error: 189.2253
13120/24129 [===============>..............] - ETA: 1s - loss: 189.9048 - output_salary_loss: 0.5948 - output_age_loss: 189.3100 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 189.3100
13248/24129 [===============>..............] - ETA: 1s - loss: 189.7053 - output_salary_loss: 0.5943 - output_age_loss: 189.1110 - output_salary_acc: 0.7498 - output_age_mean_squared_error: 189.1110
13344/24129 [===============>..............] - ETA: 1s - loss: 189.5549 - output_salary_loss: 0.5942 - output_age_loss: 188.9607 - output_salary_acc: 0.7498 - output_age_mean_squared_error: 188.9607
13472/24129 [===============>..............] - ETA: 1s - loss: 189.4897 - output_salary_loss: 0.5942 - output_age_loss: 188.8954 - output_salary_acc: 0.7497 - output_age_mean_squared_error: 188.8954
13600/24129 [===============>..............] - ETA: 1s - loss: 189.3582 - output_salary_loss: 0.5938 - output_age_loss: 188.7644 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 188.7644
13760/24129 [================>.............] - ETA: 1s - loss: 189.3541 - output_salary_loss: 0.5931 - output_age_loss: 188.7610 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 188.7610
14048/24129 [================>.............] - ETA: 1s - loss: 189.0093 - output_salary_loss: 0.5931 - output_age_loss: 188.4163 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 188.4163
14368/24129 [================>.............] - ETA: 1s - loss: 188.1939 - output_salary_loss: 0.5930 - output_age_loss: 187.6009 - output_salary_acc: 0.7503 - output_age_mean_squared_error: 187.6009
14720/24129 [=================>............] - ETA: 1s - loss: 188.1285 - output_salary_loss: 0.5939 - output_age_loss: 187.5346 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 187.5346
14880/24129 [=================>............] - ETA: 1s - loss: 187.6525 - output_salary_loss: 0.5935 - output_age_loss: 187.0590 - output_salary_acc: 0.7502 - output_age_mean_squared_error: 187.0590
15040/24129 [=================>............] - ETA: 1s - loss: 187.3861 - output_salary_loss: 0.5926 - output_age_loss: 186.7935 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 186.7935
15136/24129 [=================>............] - ETA: 1s - loss: 187.4974 - output_salary_loss: 0.5925 - output_age_loss: 186.9049 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 186.9049
15264/24129 [=================>............] - ETA: 1s - loss: 187.6762 - output_salary_loss: 0.5925 - output_age_loss: 187.0837 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 187.0837
15392/24129 [==================>...........] - ETA: 1s - loss: 187.7937 - output_salary_loss: 0.5924 - output_age_loss: 187.2012 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 187.2012
15488/24129 [==================>...........] - ETA: 1s - loss: 187.8127 - output_salary_loss: 0.5930 - output_age_loss: 187.2196 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 187.2196
15584/24129 [==================>...........] - ETA: 1s - loss: 188.2448 - output_salary_loss: 0.5930 - output_age_loss: 187.6518 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 187.6518
15680/24129 [==================>...........] - ETA: 1s - loss: 188.1550 - output_salary_loss: 0.5931 - output_age_loss: 187.5620 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 187.5620
15808/24129 [==================>...........] - ETA: 1s - loss: 187.8601 - output_salary_loss: 0.5930 - output_age_loss: 187.2672 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 187.2672
15904/24129 [==================>...........] - ETA: 1s - loss: 188.0572 - output_salary_loss: 0.5929 - output_age_loss: 187.4644 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 187.4644
16032/24129 [==================>...........] - ETA: 1s - loss: 188.0816 - output_salary_loss: 0.5928 - output_age_loss: 187.4889 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 187.4889
16128/24129 [===================>..........] - ETA: 1s - loss: 187.9986 - output_salary_loss: 0.5927 - output_age_loss: 187.4059 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 187.4059
16192/24129 [===================>..........] - ETA: 1s - loss: 187.9099 - output_salary_loss: 0.5925 - output_age_loss: 187.3174 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 187.3174
16288/24129 [===================>..........] - ETA: 1s - loss: 187.9806 - output_salary_loss: 0.5927 - output_age_loss: 187.3878 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 187.3878
16416/24129 [===================>..........] - ETA: 1s - loss: 188.1876 - output_salary_loss: 0.5929 - output_age_loss: 187.5946 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 187.5946
16480/24129 [===================>..........] - ETA: 1s - loss: 188.0915 - output_salary_loss: 0.5928 - output_age_loss: 187.4987 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 187.4987
16608/24129 [===================>..........] - ETA: 1s - loss: 188.2141 - output_salary_loss: 0.5926 - output_age_loss: 187.6214 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 187.6214
16704/24129 [===================>..........] - ETA: 1s - loss: 188.9039 - output_salary_loss: 0.5927 - output_age_loss: 188.3113 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 188.3113
17024/24129 [====================>.........] - ETA: 1s - loss: 189.0732 - output_salary_loss: 0.5928 - output_age_loss: 188.4803 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 188.4803
17344/24129 [====================>.........] - ETA: 1s - loss: 188.8211 - output_salary_loss: 0.5934 - output_age_loss: 188.2277 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 188.2277
17696/24129 [=====================>........] - ETA: 1s - loss: 189.1394 - output_salary_loss: 0.5938 - output_age_loss: 188.5457 - output_salary_acc: 0.7501 - output_age_mean_squared_error: 188.5457
18048/24129 [=====================>........] - ETA: 1s - loss: 189.0282 - output_salary_loss: 0.5931 - output_age_loss: 188.4351 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 188.4351
18176/24129 [=====================>........] - ETA: 1s - loss: 189.1821 - output_salary_loss: 0.5932 - output_age_loss: 188.5888 - output_salary_acc: 0.7502 - output_age_mean_squared_error: 188.5888
18304/24129 [=====================>........] - ETA: 1s - loss: 188.9572 - output_salary_loss: 0.5937 - output_age_loss: 188.3635 - output_salary_acc: 0.7497 - output_age_mean_squared_error: 188.3635
18400/24129 [=====================>........] - ETA: 1s - loss: 188.8410 - output_salary_loss: 0.5940 - output_age_loss: 188.2470 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 188.2470
18528/24129 [======================>.......] - ETA: 1s - loss: 188.9689 - output_salary_loss: 0.5940 - output_age_loss: 188.3749 - output_salary_acc: 0.7494 - output_age_mean_squared_error: 188.3749
18560/24129 [======================>.......] - ETA: 1s - loss: 188.9554 - output_salary_loss: 0.5941 - output_age_loss: 188.3613 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 188.3613
18688/24129 [======================>.......] - ETA: 1s - loss: 188.9857 - output_salary_loss: 0.5939 - output_age_loss: 188.3918 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 188.3918
18784/24129 [======================>.......] - ETA: 1s - loss: 188.6112 - output_salary_loss: 0.5940 - output_age_loss: 188.0172 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 188.0172
18912/24129 [======================>.......] - ETA: 1s - loss: 188.2467 - output_salary_loss: 0.5941 - output_age_loss: 187.6526 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 187.6526
19008/24129 [======================>.......] - ETA: 1s - loss: 188.6059 - output_salary_loss: 0.5937 - output_age_loss: 188.0122 - output_salary_acc: 0.7494 - output_age_mean_squared_error: 188.0122
19136/24129 [======================>.......] - ETA: 1s - loss: 188.4763 - output_salary_loss: 0.5943 - output_age_loss: 187.8820 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 187.8820
19264/24129 [======================>.......] - ETA: 1s - loss: 188.5885 - output_salary_loss: 0.5943 - output_age_loss: 187.9941 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 187.9941
19392/24129 [=======================>......] - ETA: 1s - loss: 188.4380 - output_salary_loss: 0.5946 - output_age_loss: 187.8434 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 187.8434
19456/24129 [=======================>......] - ETA: 1s - loss: 188.4236 - output_salary_loss: 0.5947 - output_age_loss: 187.8289 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 187.8289
19552/24129 [=======================>......] - ETA: 1s - loss: 188.2465 - output_salary_loss: 0.5948 - output_age_loss: 187.6517 - output_salary_acc: 0.7485 - output_age_mean_squared_error: 187.6517
19616/24129 [=======================>......] - ETA: 1s - loss: 188.1982 - output_salary_loss: 0.5948 - output_age_loss: 187.6034 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 187.6034
19776/24129 [=======================>......] - ETA: 0s - loss: 188.0252 - output_salary_loss: 0.5944 - output_age_loss: 187.4308 - output_salary_acc: 0.7489 - output_age_mean_squared_error: 187.4308
19904/24129 [=======================>......] - ETA: 0s - loss: 188.1367 - output_salary_loss: 0.5940 - output_age_loss: 187.5427 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 187.5427
20224/24129 [========================>.....] - ETA: 0s - loss: 188.7367 - output_salary_loss: 0.5939 - output_age_loss: 188.1428 - output_salary_acc: 0.7494 - output_age_mean_squared_error: 188.1428
20480/24129 [========================>.....] - ETA: 0s - loss: 188.5109 - output_salary_loss: 0.5936 - output_age_loss: 187.9174 - output_salary_acc: 0.7497 - output_age_mean_squared_error: 187.9174
20608/24129 [========================>.....] - ETA: 0s - loss: 188.7436 - output_salary_loss: 0.5932 - output_age_loss: 188.1504 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 188.1504
20736/24129 [========================>.....] - ETA: 0s - loss: 189.0869 - output_salary_loss: 0.5933 - output_age_loss: 188.4937 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 188.4937
20800/24129 [========================>.....] - ETA: 0s - loss: 189.1642 - output_salary_loss: 0.5931 - output_age_loss: 188.5711 - output_salary_acc: 0.7501 - output_age_mean_squared_error: 188.5711
20896/24129 [========================>.....] - ETA: 0s - loss: 189.0194 - output_salary_loss: 0.5931 - output_age_loss: 188.4263 - output_salary_acc: 0.7501 - output_age_mean_squared_error: 188.4263
20992/24129 [=========================>....] - ETA: 0s - loss: 188.8615 - output_salary_loss: 0.5931 - output_age_loss: 188.2684 - output_salary_acc: 0.7502 - output_age_mean_squared_error: 188.2684
21120/24129 [=========================>....] - ETA: 0s - loss: 188.9556 - output_salary_loss: 0.5929 - output_age_loss: 188.3628 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 188.3628
21184/24129 [=========================>....] - ETA: 0s - loss: 189.0677 - output_salary_loss: 0.5925 - output_age_loss: 188.4751 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 188.4751
21312/24129 [=========================>....] - ETA: 0s - loss: 189.3787 - output_salary_loss: 0.5926 - output_age_loss: 188.7862 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 188.7862
21440/24129 [=========================>....] - ETA: 0s - loss: 189.1814 - output_salary_loss: 0.5925 - output_age_loss: 188.5889 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 188.5889
21536/24129 [=========================>....] - ETA: 0s - loss: 189.2319 - output_salary_loss: 0.5922 - output_age_loss: 188.6397 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 188.6397
21632/24129 [=========================>....] - ETA: 0s - loss: 189.3103 - output_salary_loss: 0.5919 - output_age_loss: 188.7184 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 188.7184
21728/24129 [==========================>...] - ETA: 0s - loss: 189.3745 - output_salary_loss: 0.5918 - output_age_loss: 188.7827 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 188.7827
21792/24129 [==========================>...] - ETA: 0s - loss: 189.3617 - output_salary_loss: 0.5920 - output_age_loss: 188.7697 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 188.7697
21920/24129 [==========================>...] - ETA: 0s - loss: 189.2677 - output_salary_loss: 0.5920 - output_age_loss: 188.6757 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 188.6757
21984/24129 [==========================>...] - ETA: 0s - loss: 189.3633 - output_salary_loss: 0.5920 - output_age_loss: 188.7713 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 188.7713
22080/24129 [==========================>...] - ETA: 0s - loss: 189.4051 - output_salary_loss: 0.5921 - output_age_loss: 188.8130 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 188.8130
22208/24129 [==========================>...] - ETA: 0s - loss: 189.2683 - output_salary_loss: 0.5920 - output_age_loss: 188.6763 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 188.6763
22304/24129 [==========================>...] - ETA: 0s - loss: 189.3277 - output_salary_loss: 0.5918 - output_age_loss: 188.7360 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 188.7360
22592/24129 [===========================>..] - ETA: 0s - loss: 189.2336 - output_salary_loss: 0.5915 - output_age_loss: 188.6421 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 188.6421
22880/24129 [===========================>..] - ETA: 0s - loss: 189.4037 - output_salary_loss: 0.5917 - output_age_loss: 188.8120 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 188.8120
23296/24129 [===========================>..] - ETA: 0s - loss: 189.2439 - output_salary_loss: 0.5917 - output_age_loss: 188.6523 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 188.6523
23712/24129 [============================>.] - ETA: 0s - loss: 189.5171 - output_salary_loss: 0.5911 - output_age_loss: 188.9260 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 188.9260
24064/24129 [============================>.] - ETA: 0s - loss: 189.2167 - output_salary_loss: 0.5906 - output_age_loss: 188.6260 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 188.6260
24129/24129 [==============================] - 6s 254us/step - loss: 189.0429 - output_salary_loss: 0.5906 - output_age_loss: 188.4523 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 188.4523 - val_loss: 117.0391 - val_output_salary_loss: 0.5815 - val_output_age_loss: 116.4576 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 116.4576
Epoch 3/20
32/24129 [..............................] - ETA: 4s - loss: 264.3260 - output_salary_loss: 0.7552 - output_age_loss: 263.5708 - output_salary_acc: 0.5938 - output_age_mean_squared_error: 263.5708
320/24129 [..............................] - ETA: 4s - loss: 196.1629 - output_salary_loss: 0.6167 - output_age_loss: 195.5462 - output_salary_acc: 0.7250 - output_age_mean_squared_error: 195.5462
800/24129 [..............................] - ETA: 3s - loss: 185.5179 - output_salary_loss: 0.5894 - output_age_loss: 184.9285 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 184.9285
1472/24129 [>.............................] - ETA: 2s - loss: 181.9149 - output_salary_loss: 0.5751 - output_age_loss: 181.3398 - output_salary_acc: 0.7629 - output_age_mean_squared_error: 181.3398
1600/24129 [>.............................] - ETA: 3s - loss: 186.9451 - output_salary_loss: 0.5760 - output_age_loss: 186.3691 - output_salary_acc: 0.7612 - output_age_mean_squared_error: 186.3691
1760/24129 [=>............................] - ETA: 3s - loss: 185.8405 - output_salary_loss: 0.5779 - output_age_loss: 185.2625 - output_salary_acc: 0.7585 - output_age_mean_squared_error: 185.2625
1920/24129 [=>............................] - ETA: 3s - loss: 183.2472 - output_salary_loss: 0.5810 - output_age_loss: 182.6662 - output_salary_acc: 0.7568 - output_age_mean_squared_error: 182.6662
2080/24129 [=>............................] - ETA: 4s - loss: 185.0704 - output_salary_loss: 0.5791 - output_age_loss: 184.4913 - output_salary_acc: 0.7582 - output_age_mean_squared_error: 184.4913
2272/24129 [=>............................] - ETA: 4s - loss: 182.4877 - output_salary_loss: 0.5796 - output_age_loss: 181.9081 - output_salary_acc: 0.7579 - output_age_mean_squared_error: 181.9081
2400/24129 [=>............................] - ETA: 4s - loss: 184.0001 - output_salary_loss: 0.5820 - output_age_loss: 183.4181 - output_salary_acc: 0.7554 - output_age_mean_squared_error: 183.4181
2560/24129 [==>...........................] - ETA: 4s - loss: 183.9066 - output_salary_loss: 0.5842 - output_age_loss: 183.3224 - output_salary_acc: 0.7527 - output_age_mean_squared_error: 183.3224
2720/24129 [==>...........................] - ETA: 4s - loss: 183.6325 - output_salary_loss: 0.5838 - output_age_loss: 183.0487 - output_salary_acc: 0.7544 - output_age_mean_squared_error: 183.0487
2912/24129 [==>...........................] - ETA: 4s - loss: 183.0676 - output_salary_loss: 0.5825 - output_age_loss: 182.4851 - output_salary_acc: 0.7552 - output_age_mean_squared_error: 182.4851
3104/24129 [==>...........................] - ETA: 4s - loss: 182.9960 - output_salary_loss: 0.5837 - output_age_loss: 182.4123 - output_salary_acc: 0.7542 - output_age_mean_squared_error: 182.4123
3264/24129 [===>..........................] - ETA: 4s - loss: 183.1642 - output_salary_loss: 0.5859 - output_age_loss: 182.5784 - output_salary_acc: 0.7525 - output_age_mean_squared_error: 182.5784
3424/24129 [===>..........................] - ETA: 4s - loss: 183.0243 - output_salary_loss: 0.5861 - output_age_loss: 182.4383 - output_salary_acc: 0.7520 - output_age_mean_squared_error: 182.4383
3616/24129 [===>..........................] - ETA: 4s - loss: 182.4357 - output_salary_loss: 0.5852 - output_age_loss: 181.8505 - output_salary_acc: 0.7530 - output_age_mean_squared_error: 181.8505
3776/24129 [===>..........................] - ETA: 5s - loss: 183.1026 - output_salary_loss: 0.5872 - output_age_loss: 182.5154 - output_salary_acc: 0.7516 - output_age_mean_squared_error: 182.5154
3808/24129 [===>..........................] - ETA: 5s - loss: 183.2238 - output_salary_loss: 0.5873 - output_age_loss: 182.6365 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 182.6365
3904/24129 [===>..........................] - ETA: 5s - loss: 183.8674 - output_salary_loss: 0.5874 - output_age_loss: 183.2799 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 183.2799
4032/24129 [====>.........................] - ETA: 5s - loss: 183.3268 - output_salary_loss: 0.5865 - output_age_loss: 182.7403 - output_salary_acc: 0.7525 - output_age_mean_squared_error: 182.7403
4192/24129 [====>.........................] - ETA: 5s - loss: 184.3113 - output_salary_loss: 0.5874 - output_age_loss: 183.7240 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 183.7240
4608/24129 [====>.........................] - ETA: 5s - loss: 185.2410 - output_salary_loss: 0.5869 - output_age_loss: 184.6541 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 184.6541
5120/24129 [=====>........................] - ETA: 4s - loss: 183.8350 - output_salary_loss: 0.5875 - output_age_loss: 183.2475 - output_salary_acc: 0.7502 - output_age_mean_squared_error: 183.2475
5536/24129 [=====>........................] - ETA: 4s - loss: 183.5095 - output_salary_loss: 0.5871 - output_age_loss: 182.9223 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 182.9223
6208/24129 [======>.......................] - ETA: 3s - loss: 182.9282 - output_salary_loss: 0.5877 - output_age_loss: 182.3405 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 182.3405
6592/24129 [=======>......................] - ETA: 3s - loss: 182.7341 - output_salary_loss: 0.5884 - output_age_loss: 182.1456 - output_salary_acc: 0.7494 - output_age_mean_squared_error: 182.1456
6912/24129 [=======>......................] - ETA: 3s - loss: 182.5535 - output_salary_loss: 0.5863 - output_age_loss: 181.9673 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 181.9673
7232/24129 [=======>......................] - ETA: 3s - loss: 182.8150 - output_salary_loss: 0.5870 - output_age_loss: 182.2280 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 182.2280
7360/24129 [========>.....................] - ETA: 3s - loss: 182.6530 - output_salary_loss: 0.5884 - output_age_loss: 182.0647 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 182.0647
7456/24129 [========>.....................] - ETA: 3s - loss: 182.9987 - output_salary_loss: 0.5886 - output_age_loss: 182.4101 - output_salary_acc: 0.7487 - output_age_mean_squared_error: 182.4101
7520/24129 [========>.....................] - ETA: 3s - loss: 182.7355 - output_salary_loss: 0.5887 - output_age_loss: 182.1468 - output_salary_acc: 0.7485 - output_age_mean_squared_error: 182.1468
7648/24129 [========>.....................] - ETA: 3s - loss: 182.1912 - output_salary_loss: 0.5884 - output_age_loss: 181.6028 - output_salary_acc: 0.7487 - output_age_mean_squared_error: 181.6028
7712/24129 [========>.....................] - ETA: 3s - loss: 182.2298 - output_salary_loss: 0.5880 - output_age_loss: 181.6418 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 181.6418
7840/24129 [========>.....................] - ETA: 4s - loss: 181.4446 - output_salary_loss: 0.5882 - output_age_loss: 180.8564 - output_salary_acc: 0.7491 - output_age_mean_squared_error: 180.8564
7904/24129 [========>.....................] - ETA: 4s - loss: 181.8435 - output_salary_loss: 0.5882 - output_age_loss: 181.2553 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 181.2553
8000/24129 [========>.....................] - ETA: 4s - loss: 181.8628 - output_salary_loss: 0.5881 - output_age_loss: 181.2747 - output_salary_acc: 0.7494 - output_age_mean_squared_error: 181.2747
8160/24129 [=========>....................] - ETA: 4s - loss: 181.8653 - output_salary_loss: 0.5879 - output_age_loss: 181.2774 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 181.2774
8256/24129 [=========>....................] - ETA: 4s - loss: 182.2033 - output_salary_loss: 0.5874 - output_age_loss: 181.6159 - output_salary_acc: 0.7496 - output_age_mean_squared_error: 181.6159
8384/24129 [=========>....................] - ETA: 4s - loss: 181.3987 - output_salary_loss: 0.5856 - output_age_loss: 180.8131 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 180.8131
8480/24129 [=========>....................] - ETA: 4s - loss: 181.9039 - output_salary_loss: 0.5855 - output_age_loss: 181.3184 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 181.3184
8576/24129 [=========>....................] - ETA: 4s - loss: 181.7484 - output_salary_loss: 0.5853 - output_age_loss: 181.1631 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 181.1631
8672/24129 [=========>....................] - ETA: 4s - loss: 181.6751 - output_salary_loss: 0.5857 - output_age_loss: 181.0895 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 181.0895
8768/24129 [=========>....................] - ETA: 4s - loss: 182.0225 - output_salary_loss: 0.5852 - output_age_loss: 181.4373 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 181.4373
8896/24129 [==========>...................] - ETA: 4s - loss: 182.2312 - output_salary_loss: 0.5840 - output_age_loss: 181.6472 - output_salary_acc: 0.7522 - output_age_mean_squared_error: 181.6472
8992/24129 [==========>...................] - ETA: 4s - loss: 182.5975 - output_salary_loss: 0.5838 - output_age_loss: 182.0137 - output_salary_acc: 0.7523 - output_age_mean_squared_error: 182.0137
9280/24129 [==========>...................] - ETA: 4s - loss: 183.1245 - output_salary_loss: 0.5817 - output_age_loss: 182.5428 - output_salary_acc: 0.7538 - output_age_mean_squared_error: 182.5428
9600/24129 [==========>...................] - ETA: 4s - loss: 183.1965 - output_salary_loss: 0.5816 - output_age_loss: 182.6149 - output_salary_acc: 0.7536 - output_age_mean_squared_error: 182.6149
9984/24129 [===========>..................] - ETA: 3s - loss: 182.8476 - output_salary_loss: 0.5815 - output_age_loss: 182.2661 - output_salary_acc: 0.7539 - output_age_mean_squared_error: 182.2661
10400/24129 [===========>..................] - ETA: 3s - loss: 182.9354 - output_salary_loss: 0.5805 - output_age_loss: 182.3549 - output_salary_acc: 0.7544 - output_age_mean_squared_error: 182.3549
10688/24129 [============>.................] - ETA: 3s - loss: 182.6326 - output_salary_loss: 0.5810 - output_age_loss: 182.0517 - output_salary_acc: 0.7540 - output_age_mean_squared_error: 182.0517
11040/24129 [============>.................] - ETA: 3s - loss: 182.9741 - output_salary_loss: 0.5822 - output_age_loss: 182.3919 - output_salary_acc: 0.7524 - output_age_mean_squared_error: 182.3919
11392/24129 [=============>................] - ETA: 3s - loss: 183.7583 - output_salary_loss: 0.5822 - output_age_loss: 183.1761 - output_salary_acc: 0.7525 - output_age_mean_squared_error: 183.1761
11744/24129 [=============>................] - ETA: 3s - loss: 184.3945 - output_salary_loss: 0.5807 - output_age_loss: 183.8138 - output_salary_acc: 0.7537 - output_age_mean_squared_error: 183.8138
12096/24129 [==============>...............] - ETA: 3s - loss: 184.0641 - output_salary_loss: 0.5808 - output_age_loss: 183.4833 - output_salary_acc: 0.7534 - output_age_mean_squared_error: 183.4833
12320/24129 [==============>...............] - ETA: 2s - loss: 183.9605 - output_salary_loss: 0.5807 - output_age_loss: 183.3798 - output_salary_acc: 0.7534 - output_age_mean_squared_error: 183.3798
12448/24129 [==============>...............] - ETA: 2s - loss: 183.9777 - output_salary_loss: 0.5808 - output_age_loss: 183.3969 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 183.3969
12480/24129 [==============>...............] - ETA: 3s - loss: 183.7915 - output_salary_loss: 0.5808 - output_age_loss: 183.2108 - output_salary_acc: 0.7532 - output_age_mean_squared_error: 183.2108
12608/24129 [==============>...............] - ETA: 3s - loss: 184.0602 - output_salary_loss: 0.5806 - output_age_loss: 183.4796 - output_salary_acc: 0.7534 - output_age_mean_squared_error: 183.4796
12736/24129 [==============>...............] - ETA: 3s - loss: 184.1320 - output_salary_loss: 0.5804 - output_age_loss: 183.5515 - output_salary_acc: 0.7534 - output_age_mean_squared_error: 183.5515
12896/24129 [===============>..............] - ETA: 2s - loss: 184.1933 - output_salary_loss: 0.5806 - output_age_loss: 183.6127 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 183.6127
12992/24129 [===============>..............] - ETA: 2s - loss: 184.5808 - output_salary_loss: 0.5808 - output_age_loss: 184.0001 - output_salary_acc: 0.7530 - output_age_mean_squared_error: 184.0001
13152/24129 [===============>..............] - ETA: 2s - loss: 184.2634 - output_salary_loss: 0.5804 - output_age_loss: 183.6830 - output_salary_acc: 0.7533 - output_age_mean_squared_error: 183.6830
13280/24129 [===============>..............] - ETA: 2s - loss: 184.2959 - output_salary_loss: 0.5804 - output_age_loss: 183.7155 - output_salary_acc: 0.7533 - output_age_mean_squared_error: 183.7155
13472/24129 [===============>..............] - ETA: 2s - loss: 184.0276 - output_salary_loss: 0.5804 - output_age_loss: 183.4472 - output_salary_acc: 0.7533 - output_age_mean_squared_error: 183.4472
13504/24129 [===============>..............] - ETA: 2s - loss: 184.0374 - output_salary_loss: 0.5806 - output_age_loss: 183.4567 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 183.4567
13600/24129 [===============>..............] - ETA: 2s - loss: 184.3179 - output_salary_loss: 0.5814 - output_age_loss: 183.7365 - output_salary_acc: 0.7522 - output_age_mean_squared_error: 183.7365
13696/24129 [================>.............] - ETA: 2s - loss: 184.2757 - output_salary_loss: 0.5817 - output_age_loss: 183.6940 - output_salary_acc: 0.7520 - output_age_mean_squared_error: 183.6940
13760/24129 [================>.............] - ETA: 2s - loss: 184.2017 - output_salary_loss: 0.5816 - output_age_loss: 183.6201 - output_salary_acc: 0.7523 - output_age_mean_squared_error: 183.6201
13888/24129 [================>.............] - ETA: 2s - loss: 184.3373 - output_salary_loss: 0.5813 - output_age_loss: 183.7560 - output_salary_acc: 0.7527 - output_age_mean_squared_error: 183.7560
13952/24129 [================>.............] - ETA: 2s - loss: 184.3087 - output_salary_loss: 0.5812 - output_age_loss: 183.7275 - output_salary_acc: 0.7529 - output_age_mean_squared_error: 183.7275
14208/24129 [================>.............] - ETA: 2s - loss: 183.9399 - output_salary_loss: 0.5819 - output_age_loss: 183.3580 - output_salary_acc: 0.7523 - output_age_mean_squared_error: 183.3580
14528/24129 [=================>............] - ETA: 2s - loss: 184.6119 - output_salary_loss: 0.5818 - output_age_loss: 184.0301 - output_salary_acc: 0.7523 - output_age_mean_squared_error: 184.0301
14880/24129 [=================>............] - ETA: 2s - loss: 184.3085 - output_salary_loss: 0.5817 - output_age_loss: 183.7268 - output_salary_acc: 0.7521 - output_age_mean_squared_error: 183.7268
15296/24129 [==================>...........] - ETA: 2s - loss: 184.2327 - output_salary_loss: 0.5808 - output_age_loss: 183.6519 - output_salary_acc: 0.7527 - output_age_mean_squared_error: 183.6519
15680/24129 [==================>...........] - ETA: 2s - loss: 183.7876 - output_salary_loss: 0.5807 - output_age_loss: 183.2068 - output_salary_acc: 0.7527 - output_age_mean_squared_error: 183.2068
15968/24129 [==================>...........] - ETA: 2s - loss: 184.0093 - output_salary_loss: 0.5802 - output_age_loss: 183.4291 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 183.4291
16224/24129 [===================>..........] - ETA: 2s - loss: 183.8675 - output_salary_loss: 0.5801 - output_age_loss: 183.2874 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 183.2874
16288/24129 [===================>..........] - ETA: 2s - loss: 184.0110 - output_salary_loss: 0.5800 - output_age_loss: 183.4310 - output_salary_acc: 0.7532 - output_age_mean_squared_error: 183.4310
16416/24129 [===================>..........] - ETA: 2s - loss: 183.6900 - output_salary_loss: 0.5798 - output_age_loss: 183.1102 - output_salary_acc: 0.7534 - output_age_mean_squared_error: 183.1102
16512/24129 [===================>..........] - ETA: 2s - loss: 184.1296 - output_salary_loss: 0.5801 - output_age_loss: 183.5495 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 183.5495
16608/24129 [===================>..........] - ETA: 2s - loss: 183.9348 - output_salary_loss: 0.5797 - output_age_loss: 183.3551 - output_salary_acc: 0.7534 - output_age_mean_squared_error: 183.3551
16736/24129 [===================>..........] - ETA: 2s - loss: 183.9106 - output_salary_loss: 0.5793 - output_age_loss: 183.3313 - output_salary_acc: 0.7539 - output_age_mean_squared_error: 183.3313
16832/24129 [===================>..........] - ETA: 2s - loss: 183.7368 - output_salary_loss: 0.5788 - output_age_loss: 183.1580 - output_salary_acc: 0.7543 - output_age_mean_squared_error: 183.1580
16928/24129 [====================>.........] - ETA: 2s - loss: 183.6861 - output_salary_loss: 0.5786 - output_age_loss: 183.1074 - output_salary_acc: 0.7545 - output_age_mean_squared_error: 183.1074
17024/24129 [====================>.........] - ETA: 2s - loss: 183.7060 - output_salary_loss: 0.5787 - output_age_loss: 183.1274 - output_salary_acc: 0.7546 - output_age_mean_squared_error: 183.1274
17184/24129 [====================>.........] - ETA: 2s - loss: 183.8235 - output_salary_loss: 0.5781 - output_age_loss: 183.2454 - output_salary_acc: 0.7549 - output_age_mean_squared_error: 183.2454
17312/24129 [====================>.........] - ETA: 1s - loss: 183.8839 - output_salary_loss: 0.5778 - output_age_loss: 183.3061 - output_salary_acc: 0.7550 - output_age_mean_squared_error: 183.3061
17376/24129 [====================>.........] - ETA: 1s - loss: 184.0569 - output_salary_loss: 0.5778 - output_age_loss: 183.4791 - output_salary_acc: 0.7549 - output_age_mean_squared_error: 183.4791
17536/24129 [====================>.........] - ETA: 1s - loss: 184.3307 - output_salary_loss: 0.5777 - output_age_loss: 183.7531 - output_salary_acc: 0.7549 - output_age_mean_squared_error: 183.7531
17664/24129 [====================>.........] - ETA: 1s - loss: 184.0764 - output_salary_loss: 0.5773 - output_age_loss: 183.4991 - output_salary_acc: 0.7552 - output_age_mean_squared_error: 183.4991
17760/24129 [=====================>........] - ETA: 1s - loss: 183.9745 - output_salary_loss: 0.5776 - output_age_loss: 183.3969 - output_salary_acc: 0.7548 - output_age_mean_squared_error: 183.3969
17856/24129 [=====================>........] - ETA: 1s - loss: 184.2225 - output_salary_loss: 0.5774 - output_age_loss: 183.6450 - output_salary_acc: 0.7550 - output_age_mean_squared_error: 183.6450
17984/24129 [=====================>........] - ETA: 1s - loss: 183.9126 - output_salary_loss: 0.5771 - output_age_loss: 183.3355 - output_salary_acc: 0.7553 - output_age_mean_squared_error: 183.3355
18208/24129 [=====================>........] - ETA: 1s - loss: 183.6959 - output_salary_loss: 0.5778 - output_age_loss: 183.1181 - output_salary_acc: 0.7548 - output_age_mean_squared_error: 183.1181
18528/24129 [======================>.......] - ETA: 1s - loss: 183.4872 - output_salary_loss: 0.5774 - output_age_loss: 182.9098 - output_salary_acc: 0.7550 - output_age_mean_squared_error: 182.9098
18816/24129 [======================>.......] - ETA: 1s - loss: 183.4409 - output_salary_loss: 0.5775 - output_age_loss: 182.8633 - output_salary_acc: 0.7547 - output_age_mean_squared_error: 182.8633
19104/24129 [======================>.......] - ETA: 1s - loss: 183.4003 - output_salary_loss: 0.5768 - output_age_loss: 182.8235 - output_salary_acc: 0.7552 - output_age_mean_squared_error: 182.8235
19424/24129 [=======================>......] - ETA: 1s - loss: 183.2151 - output_salary_loss: 0.5770 - output_age_loss: 182.6381 - output_salary_acc: 0.7549 - output_age_mean_squared_error: 182.6381
19712/24129 [=======================>......] - ETA: 1s - loss: 183.3173 - output_salary_loss: 0.5776 - output_age_loss: 182.7397 - output_salary_acc: 0.7543 - output_age_mean_squared_error: 182.7397
19808/24129 [=======================>......] - ETA: 1s - loss: 183.0889 - output_salary_loss: 0.5776 - output_age_loss: 182.5113 - output_salary_acc: 0.7542 - output_age_mean_squared_error: 182.5113
19904/24129 [=======================>......] - ETA: 1s - loss: 182.9841 - output_salary_loss: 0.5773 - output_age_loss: 182.4068 - output_salary_acc: 0.7545 - output_age_mean_squared_error: 182.4068
20000/24129 [=======================>......] - ETA: 1s - loss: 183.0084 - output_salary_loss: 0.5773 - output_age_loss: 182.4311 - output_salary_acc: 0.7545 - output_age_mean_squared_error: 182.4311
20128/24129 [========================>.....] - ETA: 1s - loss: 182.6586 - output_salary_loss: 0.5768 - output_age_loss: 182.0818 - output_salary_acc: 0.7548 - output_age_mean_squared_error: 182.0818
20192/24129 [========================>.....] - ETA: 1s - loss: 182.8303 - output_salary_loss: 0.5771 - output_age_loss: 182.2532 - output_salary_acc: 0.7546 - output_age_mean_squared_error: 182.2532
20352/24129 [========================>.....] - ETA: 1s - loss: 182.6966 - output_salary_loss: 0.5771 - output_age_loss: 182.1196 - output_salary_acc: 0.7547 - output_age_mean_squared_error: 182.1196
20416/24129 [========================>.....] - ETA: 1s - loss: 182.6805 - output_salary_loss: 0.5777 - output_age_loss: 182.1029 - output_salary_acc: 0.7544 - output_age_mean_squared_error: 182.1029
20576/24129 [========================>.....] - ETA: 1s - loss: 182.5412 - output_salary_loss: 0.5779 - output_age_loss: 181.9633 - output_salary_acc: 0.7542 - output_age_mean_squared_error: 181.9633
20672/24129 [========================>.....] - ETA: 1s - loss: 182.6199 - output_salary_loss: 0.5779 - output_age_loss: 182.0420 - output_salary_acc: 0.7541 - output_age_mean_squared_error: 182.0420
20768/24129 [========================>.....] - ETA: 1s - loss: 182.4328 - output_salary_loss: 0.5781 - output_age_loss: 181.8547 - output_salary_acc: 0.7539 - output_age_mean_squared_error: 181.8547
20864/24129 [========================>.....] - ETA: 1s - loss: 182.3497 - output_salary_loss: 0.5782 - output_age_loss: 181.7715 - output_salary_acc: 0.7538 - output_age_mean_squared_error: 181.7715
20960/24129 [=========================>....] - ETA: 0s - loss: 182.3139 - output_salary_loss: 0.5783 - output_age_loss: 181.7356 - output_salary_acc: 0.7536 - output_age_mean_squared_error: 181.7356
21088/24129 [=========================>....] - ETA: 0s - loss: 182.0972 - output_salary_loss: 0.5780 - output_age_loss: 181.5192 - output_salary_acc: 0.7539 - output_age_mean_squared_error: 181.5192
21216/24129 [=========================>....] - ETA: 0s - loss: 181.7783 - output_salary_loss: 0.5776 - output_age_loss: 181.2007 - output_salary_acc: 0.7541 - output_age_mean_squared_error: 181.2007
21312/24129 [=========================>....] - ETA: 0s - loss: 181.5810 - output_salary_loss: 0.5777 - output_age_loss: 181.0033 - output_salary_acc: 0.7541 - output_age_mean_squared_error: 181.0033
21408/24129 [=========================>....] - ETA: 0s - loss: 181.6774 - output_salary_loss: 0.5774 - output_age_loss: 181.1001 - output_salary_acc: 0.7544 - output_age_mean_squared_error: 181.1001
21664/24129 [=========================>....] - ETA: 0s - loss: 181.6572 - output_salary_loss: 0.5772 - output_age_loss: 181.0800 - output_salary_acc: 0.7544 - output_age_mean_squared_error: 181.0800
21856/24129 [==========================>...] - ETA: 0s - loss: 181.6531 - output_salary_loss: 0.5773 - output_age_loss: 181.0758 - output_salary_acc: 0.7543 - output_age_mean_squared_error: 181.0758
21952/24129 [==========================>...] - ETA: 0s - loss: 181.7043 - output_salary_loss: 0.5773 - output_age_loss: 181.1270 - output_salary_acc: 0.7543 - output_age_mean_squared_error: 181.1270
22048/24129 [==========================>...] - ETA: 0s - loss: 181.9278 - output_salary_loss: 0.5775 - output_age_loss: 181.3503 - output_salary_acc: 0.7541 - output_age_mean_squared_error: 181.3503
22144/24129 [==========================>...] - ETA: 0s - loss: 181.8821 - output_salary_loss: 0.5777 - output_age_loss: 181.3044 - output_salary_acc: 0.7538 - output_age_mean_squared_error: 181.3044
22240/24129 [==========================>...] - ETA: 0s - loss: 181.7827 - output_salary_loss: 0.5777 - output_age_loss: 181.2050 - output_salary_acc: 0.7538 - output_age_mean_squared_error: 181.2050
22304/24129 [==========================>...] - ETA: 0s - loss: 181.6448 - output_salary_loss: 0.5777 - output_age_loss: 181.0671 - output_salary_acc: 0.7538 - output_age_mean_squared_error: 181.0671
22464/24129 [==========================>...] - ETA: 0s - loss: 181.4364 - output_salary_loss: 0.5775 - output_age_loss: 180.8589 - output_salary_acc: 0.7539 - output_age_mean_squared_error: 180.8589
22528/24129 [===========================>..] - ETA: 0s - loss: 181.4745 - output_salary_loss: 0.5773 - output_age_loss: 180.8972 - output_salary_acc: 0.7540 - output_age_mean_squared_error: 180.8972
22656/24129 [===========================>..] - ETA: 0s - loss: 181.2438 - output_salary_loss: 0.5773 - output_age_loss: 180.6665 - output_salary_acc: 0.7539 - output_age_mean_squared_error: 180.6665
22784/24129 [===========================>..] - ETA: 0s - loss: 181.0951 - output_salary_loss: 0.5774 - output_age_loss: 180.5177 - output_salary_acc: 0.7539 - output_age_mean_squared_error: 180.5177
22848/24129 [===========================>..] - ETA: 0s - loss: 181.0646 - output_salary_loss: 0.5775 - output_age_loss: 180.4871 - output_salary_acc: 0.7539 - output_age_mean_squared_error: 180.4871
22944/24129 [===========================>..] - ETA: 0s - loss: 181.2826 - output_salary_loss: 0.5773 - output_age_loss: 180.7053 - output_salary_acc: 0.7539 - output_age_mean_squared_error: 180.7053
23072/24129 [===========================>..] - ETA: 0s - loss: 181.0219 - output_salary_loss: 0.5779 - output_age_loss: 180.4441 - output_salary_acc: 0.7534 - output_age_mean_squared_error: 180.4441
23168/24129 [===========================>..] - ETA: 0s - loss: 181.1873 - output_salary_loss: 0.5779 - output_age_loss: 180.6094 - output_salary_acc: 0.7534 - output_age_mean_squared_error: 180.6094
23264/24129 [===========================>..] - ETA: 0s - loss: 181.1965 - output_salary_loss: 0.5780 - output_age_loss: 180.6185 - output_salary_acc: 0.7533 - output_age_mean_squared_error: 180.6185
23392/24129 [============================>.] - ETA: 0s - loss: 181.5229 - output_salary_loss: 0.5782 - output_age_loss: 180.9447 - output_salary_acc: 0.7532 - output_age_mean_squared_error: 180.9447
23520/24129 [============================>.] - ETA: 0s - loss: 181.4401 - output_salary_loss: 0.5781 - output_age_loss: 180.8620 - output_salary_acc: 0.7533 - output_age_mean_squared_error: 180.8620
23712/24129 [============================>.] - ETA: 0s - loss: 181.4805 - output_salary_loss: 0.5784 - output_age_loss: 180.9021 - output_salary_acc: 0.7529 - output_age_mean_squared_error: 180.9021
23872/24129 [============================>.] - ETA: 0s - loss: 181.5118 - output_salary_loss: 0.5786 - output_age_loss: 180.9332 - output_salary_acc: 0.7525 - output_age_mean_squared_error: 180.9332
23968/24129 [============================>.] - ETA: 0s - loss: 181.3843 - output_salary_loss: 0.5788 - output_age_loss: 180.8055 - output_salary_acc: 0.7522 - output_age_mean_squared_error: 180.8055
24096/24129 [============================>.] - ETA: 0s - loss: 181.4371 - output_salary_loss: 0.5789 - output_age_loss: 180.8582 - output_salary_acc: 0.7521 - output_age_mean_squared_error: 180.8582
24129/24129 [==============================] - 9s 371us/step - loss: 181.3726 - output_salary_loss: 0.5790 - output_age_loss: 180.7937 - output_salary_acc: 0.7520 - output_age_mean_squared_error: 180.7937 - val_loss: 111.5572 - val_output_salary_loss: 0.5946 - val_output_age_loss: 110.9626 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 110.9626
Epoch 4/20
32/24129 [..............................] - ETA: 2s - loss: 73.3985 - output_salary_loss: 0.6327 - output_age_loss: 72.7657 - output_salary_acc: 0.6562 - output_age_mean_squared_error: 72.7657
672/24129 [..............................] - ETA: 1s - loss: 179.6104 - output_salary_loss: 0.5817 - output_age_loss: 179.0287 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 179.0287
1312/24129 [>.............................] - ETA: 1s - loss: 179.7494 - output_salary_loss: 0.5769 - output_age_loss: 179.1725 - output_salary_acc: 0.7576 - output_age_mean_squared_error: 179.1725
1984/24129 [=>............................] - ETA: 1s - loss: 173.9571 - output_salary_loss: 0.5828 - output_age_loss: 173.3742 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 173.3742
2656/24129 [==>...........................] - ETA: 1s - loss: 176.2265 - output_salary_loss: 0.5839 - output_age_loss: 175.6426 - output_salary_acc: 0.7440 - output_age_mean_squared_error: 175.6426
3328/24129 [===>..........................] - ETA: 1s - loss: 177.8145 - output_salary_loss: 0.5775 - output_age_loss: 177.2370 - output_salary_acc: 0.7491 - output_age_mean_squared_error: 177.2370
3936/24129 [===>..........................] - ETA: 1s - loss: 177.6192 - output_salary_loss: 0.5772 - output_age_loss: 177.0419 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 177.0419
4608/24129 [====>.........................] - ETA: 1s - loss: 178.1410 - output_salary_loss: 0.5780 - output_age_loss: 177.5629 - output_salary_acc: 0.7485 - output_age_mean_squared_error: 177.5629
5280/24129 [=====>........................] - ETA: 1s - loss: 178.3109 - output_salary_loss: 0.5797 - output_age_loss: 177.7311 - output_salary_acc: 0.7481 - output_age_mean_squared_error: 177.7311
5920/24129 [======>.......................] - ETA: 1s - loss: 176.1863 - output_salary_loss: 0.5790 - output_age_loss: 175.6073 - output_salary_acc: 0.7476 - output_age_mean_squared_error: 175.6073
6592/24129 [=======>......................] - ETA: 1s - loss: 176.1861 - output_salary_loss: 0.5773 - output_age_loss: 175.6088 - output_salary_acc: 0.7488 - output_age_mean_squared_error: 175.6088
7200/24129 [=======>......................] - ETA: 1s - loss: 176.4030 - output_salary_loss: 0.5754 - output_age_loss: 175.8276 - output_salary_acc: 0.7497 - output_age_mean_squared_error: 175.8276
7776/24129 [========>.....................] - ETA: 1s - loss: 175.8947 - output_salary_loss: 0.5737 - output_age_loss: 175.3209 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 175.3209
8384/24129 [=========>....................] - ETA: 1s - loss: 175.7498 - output_salary_loss: 0.5730 - output_age_loss: 175.1768 - output_salary_acc: 0.7516 - output_age_mean_squared_error: 175.1768
9088/24129 [==========>...................] - ETA: 1s - loss: 177.1732 - output_salary_loss: 0.5735 - output_age_loss: 176.5997 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 176.5997
9728/24129 [===========>..................] - ETA: 1s - loss: 176.9386 - output_salary_loss: 0.5741 - output_age_loss: 176.3645 - output_salary_acc: 0.7502 - output_age_mean_squared_error: 176.3645
10400/24129 [===========>..................] - ETA: 1s - loss: 176.4051 - output_salary_loss: 0.5729 - output_age_loss: 175.8322 - output_salary_acc: 0.7516 - output_age_mean_squared_error: 175.8322
11072/24129 [============>.................] - ETA: 1s - loss: 176.2386 - output_salary_loss: 0.5746 - output_age_loss: 175.6640 - output_salary_acc: 0.7496 - output_age_mean_squared_error: 175.6640
11744/24129 [=============>................] - ETA: 0s - loss: 175.7214 - output_salary_loss: 0.5749 - output_age_loss: 175.1465 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 175.1465
12288/24129 [==============>...............] - ETA: 0s - loss: 176.0184 - output_salary_loss: 0.5755 - output_age_loss: 175.4429 - output_salary_acc: 0.7489 - output_age_mean_squared_error: 175.4429
12928/24129 [===============>..............] - ETA: 0s - loss: 176.0265 - output_salary_loss: 0.5738 - output_age_loss: 175.4527 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 175.4527
13376/24129 [===============>..............] - ETA: 0s - loss: 175.6229 - output_salary_loss: 0.5741 - output_age_loss: 175.0487 - output_salary_acc: 0.7503 - output_age_mean_squared_error: 175.0487
13856/24129 [================>.............] - ETA: 0s - loss: 175.1783 - output_salary_loss: 0.5741 - output_age_loss: 174.6042 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 174.6042
14528/24129 [=================>............] - ETA: 0s - loss: 174.4726 - output_salary_loss: 0.5749 - output_age_loss: 173.8977 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 173.8977
15168/24129 [=================>............] - ETA: 0s - loss: 174.2479 - output_salary_loss: 0.5741 - output_age_loss: 173.6738 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 173.6738
15840/24129 [==================>...........] - ETA: 0s - loss: 174.2207 - output_salary_loss: 0.5749 - output_age_loss: 173.6457 - output_salary_acc: 0.7488 - output_age_mean_squared_error: 173.6457
16448/24129 [===================>..........] - ETA: 0s - loss: 174.1085 - output_salary_loss: 0.5749 - output_age_loss: 173.5336 - output_salary_acc: 0.7488 - output_age_mean_squared_error: 173.5336
17120/24129 [====================>.........] - ETA: 0s - loss: 174.2959 - output_salary_loss: 0.5741 - output_age_loss: 173.7218 - output_salary_acc: 0.7496 - output_age_mean_squared_error: 173.7218
17728/24129 [=====================>........] - ETA: 0s - loss: 174.2550 - output_salary_loss: 0.5746 - output_age_loss: 173.6804 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 173.6804
18400/24129 [=====================>........] - ETA: 0s - loss: 175.3738 - output_salary_loss: 0.5740 - output_age_loss: 174.7998 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 174.7998
19040/24129 [======================>.......] - ETA: 0s - loss: 175.5328 - output_salary_loss: 0.5742 - output_age_loss: 174.9585 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 174.9585
19680/24129 [=======================>......] - ETA: 0s - loss: 175.5128 - output_salary_loss: 0.5738 - output_age_loss: 174.9391 - output_salary_acc: 0.7502 - output_age_mean_squared_error: 174.9391
20160/24129 [========================>.....] - ETA: 0s - loss: 175.6052 - output_salary_loss: 0.5735 - output_age_loss: 175.0317 - output_salary_acc: 0.7502 - output_age_mean_squared_error: 175.0317
20640/24129 [========================>.....] - ETA: 0s - loss: 175.5470 - output_salary_loss: 0.5733 - output_age_loss: 174.9737 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 174.9737
20736/24129 [========================>.....] - ETA: 0s - loss: 175.5059 - output_salary_loss: 0.5729 - output_age_loss: 174.9329 - output_salary_acc: 0.7509 - output_age_mean_squared_error: 174.9329
20864/24129 [========================>.....] - ETA: 0s - loss: 175.6669 - output_salary_loss: 0.5726 - output_age_loss: 175.0943 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 175.0943
20928/24129 [=========================>....] - ETA: 0s - loss: 175.4377 - output_salary_loss: 0.5727 - output_age_loss: 174.8650 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 174.8650
21056/24129 [=========================>....] - ETA: 0s - loss: 175.7096 - output_salary_loss: 0.5730 - output_age_loss: 175.1365 - output_salary_acc: 0.7509 - output_age_mean_squared_error: 175.1365
21152/24129 [=========================>....] - ETA: 0s - loss: 175.9480 - output_salary_loss: 0.5728 - output_age_loss: 175.3752 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 175.3752
21248/24129 [=========================>....] - ETA: 0s - loss: 175.8515 - output_salary_loss: 0.5726 - output_age_loss: 175.2789 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 175.2789
21376/24129 [=========================>....] - ETA: 0s - loss: 175.8314 - output_salary_loss: 0.5726 - output_age_loss: 175.2588 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 175.2588
21472/24129 [=========================>....] - ETA: 0s - loss: 175.6962 - output_salary_loss: 0.5725 - output_age_loss: 175.1236 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 175.1236
21632/24129 [=========================>....] - ETA: 0s - loss: 175.9404 - output_salary_loss: 0.5726 - output_age_loss: 175.3678 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 175.3678
21728/24129 [==========================>...] - ETA: 0s - loss: 175.9737 - output_salary_loss: 0.5725 - output_age_loss: 175.4011 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 175.4011
21792/24129 [==========================>...] - ETA: 0s - loss: 175.9718 - output_salary_loss: 0.5725 - output_age_loss: 175.3992 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 175.3992
21888/24129 [==========================>...] - ETA: 0s - loss: 176.0468 - output_salary_loss: 0.5729 - output_age_loss: 175.4739 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 175.4739
21952/24129 [==========================>...] - ETA: 0s - loss: 175.9182 - output_salary_loss: 0.5730 - output_age_loss: 175.3452 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 175.3452
22048/24129 [==========================>...] - ETA: 0s - loss: 175.9251 - output_salary_loss: 0.5728 - output_age_loss: 175.3523 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 175.3523
22176/24129 [==========================>...] - ETA: 0s - loss: 175.9144 - output_salary_loss: 0.5728 - output_age_loss: 175.3416 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 175.3416
22208/24129 [==========================>...] - ETA: 0s - loss: 175.8859 - output_salary_loss: 0.5729 - output_age_loss: 175.3130 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 175.3130
22400/24129 [==========================>...] - ETA: 0s - loss: 175.9918 - output_salary_loss: 0.5731 - output_age_loss: 175.4187 - output_salary_acc: 0.7503 - output_age_mean_squared_error: 175.4187
22528/24129 [===========================>..] - ETA: 0s - loss: 176.0882 - output_salary_loss: 0.5730 - output_age_loss: 175.5153 - output_salary_acc: 0.7503 - output_age_mean_squared_error: 175.5153
22624/24129 [===========================>..] - ETA: 0s - loss: 176.0660 - output_salary_loss: 0.5728 - output_age_loss: 175.4932 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 175.4932
22720/24129 [===========================>..] - ETA: 0s - loss: 175.9776 - output_salary_loss: 0.5727 - output_age_loss: 175.4048 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 175.4048
22848/24129 [===========================>..] - ETA: 0s - loss: 175.8517 - output_salary_loss: 0.5723 - output_age_loss: 175.2794 - output_salary_acc: 0.7509 - output_age_mean_squared_error: 175.2794
22944/24129 [===========================>..] - ETA: 0s - loss: 175.8980 - output_salary_loss: 0.5727 - output_age_loss: 175.3254 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 175.3254
23008/24129 [===========================>..] - ETA: 0s - loss: 175.9008 - output_salary_loss: 0.5722 - output_age_loss: 175.3286 - output_salary_acc: 0.7509 - output_age_mean_squared_error: 175.3286
23104/24129 [===========================>..] - ETA: 0s - loss: 175.8933 - output_salary_loss: 0.5724 - output_age_loss: 175.3208 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 175.3208
23200/24129 [===========================>..] - ETA: 0s - loss: 175.8546 - output_salary_loss: 0.5724 - output_age_loss: 175.2822 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 175.2822
23296/24129 [===========================>..] - ETA: 0s - loss: 175.8232 - output_salary_loss: 0.5722 - output_age_loss: 175.2510 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 175.2510
23456/24129 [============================>.] - ETA: 0s - loss: 175.9459 - output_salary_loss: 0.5718 - output_age_loss: 175.3741 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 175.3741
23552/24129 [============================>.] - ETA: 0s - loss: 175.9789 - output_salary_loss: 0.5718 - output_age_loss: 175.4072 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 175.4072
23680/24129 [============================>.] - ETA: 0s - loss: 175.8648 - output_salary_loss: 0.5718 - output_age_loss: 175.2930 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 175.2930
23776/24129 [============================>.] - ETA: 0s - loss: 175.6168 - output_salary_loss: 0.5718 - output_age_loss: 175.0450 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 175.0450
23904/24129 [============================>.] - ETA: 0s - loss: 175.5680 - output_salary_loss: 0.5716 - output_age_loss: 174.9964 - output_salary_acc: 0.7516 - output_age_mean_squared_error: 174.9964
24032/24129 [============================>.] - ETA: 0s - loss: 175.4873 - output_salary_loss: 0.5718 - output_age_loss: 174.9155 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 174.9155
24128/24129 [============================>.] - ETA: 0s - loss: 175.6438 - output_salary_loss: 0.5717 - output_age_loss: 175.0721 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 175.0721
24129/24129 [==============================] - 4s 166us/step - loss: 175.6377 - output_salary_loss: 0.5717 - output_age_loss: 175.0659 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 175.0659 - val_loss: 100.7678 - val_output_salary_loss: 0.5638 - val_output_age_loss: 100.2040 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 100.2040
Epoch 5/20
32/24129 [..............................] - ETA: 12s - loss: 132.3386 - output_salary_loss: 0.5411 - output_age_loss: 131.7975 - output_salary_acc: 0.7812 - output_age_mean_squared_error: 131.7975
192/24129 [..............................] - ETA: 9s - loss: 176.5787 - output_salary_loss: 0.5604 - output_age_loss: 176.0183 - output_salary_acc: 0.7604 - output_age_mean_squared_error: 176.0183
352/24129 [..............................] - ETA: 8s - loss: 163.8492 - output_salary_loss: 0.5675 - output_age_loss: 163.2817 - output_salary_acc: 0.7528 - output_age_mean_squared_error: 163.2817
512/24129 [..............................] - ETA: 8s - loss: 161.7067 - output_salary_loss: 0.5639 - output_age_loss: 161.1428 - output_salary_acc: 0.7559 - output_age_mean_squared_error: 161.1428
640/24129 [..............................] - ETA: 8s - loss: 168.2140 - output_salary_loss: 0.5629 - output_age_loss: 167.6511 - output_salary_acc: 0.7547 - output_age_mean_squared_error: 167.6511
704/24129 [..............................] - ETA: 9s - loss: 174.9951 - output_salary_loss: 0.5585 - output_age_loss: 174.4366 - output_salary_acc: 0.7585 - output_age_mean_squared_error: 174.4366
864/24129 [>.............................] - ETA: 9s - loss: 172.6496 - output_salary_loss: 0.5594 - output_age_loss: 172.0901 - output_salary_acc: 0.7581 - output_age_mean_squared_error: 172.0901
1024/24129 [>.............................] - ETA: 9s - loss: 174.4802 - output_salary_loss: 0.5635 - output_age_loss: 173.9167 - output_salary_acc: 0.7529 - output_age_mean_squared_error: 173.9167
1120/24129 [>.............................] - ETA: 9s - loss: 179.5861 - output_salary_loss: 0.5636 - output_age_loss: 179.0225 - output_salary_acc: 0.7509 - output_age_mean_squared_error: 179.0225
1312/24129 [>.............................] - ETA: 9s - loss: 177.2339 - output_salary_loss: 0.5607 - output_age_loss: 176.6732 - output_salary_acc: 0.7538 - output_age_mean_squared_error: 176.6732
1504/24129 [>.............................] - ETA: 8s - loss: 174.7684 - output_salary_loss: 0.5563 - output_age_loss: 174.2122 - output_salary_acc: 0.7573 - output_age_mean_squared_error: 174.2122
1696/24129 [=>............................] - ETA: 8s - loss: 172.0993 - output_salary_loss: 0.5549 - output_age_loss: 171.5444 - output_salary_acc: 0.7583 - output_age_mean_squared_error: 171.5444
1856/24129 [=>............................] - ETA: 8s - loss: 172.4007 - output_salary_loss: 0.5556 - output_age_loss: 171.8451 - output_salary_acc: 0.7586 - output_age_mean_squared_error: 171.8451
2016/24129 [=>............................] - ETA: 8s - loss: 172.7428 - output_salary_loss: 0.5518 - output_age_loss: 172.1910 - output_salary_acc: 0.7614 - output_age_mean_squared_error: 172.1910
2208/24129 [=>............................] - ETA: 7s - loss: 175.1149 - output_salary_loss: 0.5527 - output_age_loss: 174.5622 - output_salary_acc: 0.7604 - output_age_mean_squared_error: 174.5622
2368/24129 [=>............................] - ETA: 7s - loss: 177.2747 - output_salary_loss: 0.5507 - output_age_loss: 176.7239 - output_salary_acc: 0.7622 - output_age_mean_squared_error: 176.7239
2720/24129 [==>...........................] - ETA: 7s - loss: 177.4070 - output_salary_loss: 0.5549 - output_age_loss: 176.8522 - output_salary_acc: 0.7585 - output_age_mean_squared_error: 176.8522
3328/24129 [===>..........................] - ETA: 6s - loss: 175.2886 - output_salary_loss: 0.5626 - output_age_loss: 174.7260 - output_salary_acc: 0.7524 - output_age_mean_squared_error: 174.7260
4000/24129 [===>..........................] - ETA: 5s - loss: 172.7125 - output_salary_loss: 0.5591 - output_age_loss: 172.1533 - output_salary_acc: 0.7578 - output_age_mean_squared_error: 172.1533
4512/24129 [====>.........................] - ETA: 4s - loss: 171.4273 - output_salary_loss: 0.5587 - output_age_loss: 170.8686 - output_salary_acc: 0.7591 - output_age_mean_squared_error: 170.8686
5024/24129 [=====>........................] - ETA: 4s - loss: 171.1710 - output_salary_loss: 0.5604 - output_age_loss: 170.6106 - output_salary_acc: 0.7582 - output_age_mean_squared_error: 170.6106
5632/24129 [======>.......................] - ETA: 3s - loss: 173.3884 - output_salary_loss: 0.5623 - output_age_loss: 172.8261 - output_salary_acc: 0.7562 - output_age_mean_squared_error: 172.8261
6304/24129 [======>.......................] - ETA: 3s - loss: 174.1721 - output_salary_loss: 0.5622 - output_age_loss: 173.6099 - output_salary_acc: 0.7554 - output_age_mean_squared_error: 173.6099
6944/24129 [=======>......................] - ETA: 3s - loss: 174.2723 - output_salary_loss: 0.5591 - output_age_loss: 173.7132 - output_salary_acc: 0.7581 - output_age_mean_squared_error: 173.7132
7520/24129 [========>.....................] - ETA: 2s - loss: 175.0174 - output_salary_loss: 0.5606 - output_age_loss: 174.4568 - output_salary_acc: 0.7561 - output_age_mean_squared_error: 174.4568
8192/24129 [=========>....................] - ETA: 2s - loss: 174.8452 - output_salary_loss: 0.5613 - output_age_loss: 174.2839 - output_salary_acc: 0.7555 - output_age_mean_squared_error: 174.2839
8864/24129 [==========>...................] - ETA: 2s - loss: 173.8971 - output_salary_loss: 0.5643 - output_age_loss: 173.3328 - output_salary_acc: 0.7519 - output_age_mean_squared_error: 173.3328
9568/24129 [==========>...................] - ETA: 2s - loss: 174.1342 - output_salary_loss: 0.5654 - output_age_loss: 173.5688 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 173.5688
9984/24129 [===========>..................] - ETA: 2s - loss: 173.6523 - output_salary_loss: 0.5656 - output_age_loss: 173.0867 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 173.0867
10464/24129 [============>.................] - ETA: 2s - loss: 174.0674 - output_salary_loss: 0.5666 - output_age_loss: 173.5008 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 173.5008
10784/24129 [============>.................] - ETA: 2s - loss: 173.7778 - output_salary_loss: 0.5672 - output_age_loss: 173.2106 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 173.2106
10912/24129 [============>.................] - ETA: 2s - loss: 174.0769 - output_salary_loss: 0.5683 - output_age_loss: 173.5086 - output_salary_acc: 0.7489 - output_age_mean_squared_error: 173.5086
11008/24129 [============>.................] - ETA: 2s - loss: 174.3276 - output_salary_loss: 0.5679 - output_age_loss: 173.7596 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 173.7596
11104/24129 [============>.................] - ETA: 2s - loss: 174.1676 - output_salary_loss: 0.5677 - output_age_loss: 173.5999 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 173.5999
11232/24129 [============>.................] - ETA: 2s - loss: 174.3310 - output_salary_loss: 0.5681 - output_age_loss: 173.7630 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 173.7630
11360/24129 [=============>................] - ETA: 2s - loss: 173.9902 - output_salary_loss: 0.5677 - output_age_loss: 173.4225 - output_salary_acc: 0.7496 - output_age_mean_squared_error: 173.4225
11456/24129 [=============>................] - ETA: 2s - loss: 174.0750 - output_salary_loss: 0.5679 - output_age_loss: 173.5072 - output_salary_acc: 0.7494 - output_age_mean_squared_error: 173.5072
11520/24129 [=============>................] - ETA: 2s - loss: 174.0376 - output_salary_loss: 0.5681 - output_age_loss: 173.4695 - output_salary_acc: 0.7491 - output_age_mean_squared_error: 173.4695
11616/24129 [=============>................] - ETA: 2s - loss: 173.9944 - output_salary_loss: 0.5680 - output_age_loss: 173.4264 - output_salary_acc: 0.7491 - output_age_mean_squared_error: 173.4264
11744/24129 [=============>................] - ETA: 2s - loss: 173.8603 - output_salary_loss: 0.5686 - output_age_loss: 173.2917 - output_salary_acc: 0.7488 - output_age_mean_squared_error: 173.2917
11872/24129 [=============>................] - ETA: 2s - loss: 173.9705 - output_salary_loss: 0.5684 - output_age_loss: 173.4021 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 173.4021
11968/24129 [=============>................] - ETA: 2s - loss: 173.8735 - output_salary_loss: 0.5686 - output_age_loss: 173.3049 - output_salary_acc: 0.7487 - output_age_mean_squared_error: 173.3049
12064/24129 [=============>................] - ETA: 2s - loss: 173.8353 - output_salary_loss: 0.5686 - output_age_loss: 173.2667 - output_salary_acc: 0.7487 - output_age_mean_squared_error: 173.2667
12192/24129 [==============>...............] - ETA: 2s - loss: 173.9920 - output_salary_loss: 0.5683 - output_age_loss: 173.4236 - output_salary_acc: 0.7489 - output_age_mean_squared_error: 173.4236
12288/24129 [==============>...............] - ETA: 2s - loss: 173.5747 - output_salary_loss: 0.5683 - output_age_loss: 173.0064 - output_salary_acc: 0.7489 - output_age_mean_squared_error: 173.0064
12352/24129 [==============>...............] - ETA: 2s - loss: 173.3497 - output_salary_loss: 0.5683 - output_age_loss: 172.7814 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 172.7814
12448/24129 [==============>...............] - ETA: 2s - loss: 173.1929 - output_salary_loss: 0.5677 - output_age_loss: 172.6252 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 172.6252
12704/24129 [==============>...............] - ETA: 2s - loss: 173.4608 - output_salary_loss: 0.5674 - output_age_loss: 172.8934 - output_salary_acc: 0.7498 - output_age_mean_squared_error: 172.8934
12832/24129 [==============>...............] - ETA: 2s - loss: 173.6869 - output_salary_loss: 0.5668 - output_age_loss: 173.1201 - output_salary_acc: 0.7503 - output_age_mean_squared_error: 173.1201
12928/24129 [===============>..............] - ETA: 2s - loss: 173.7193 - output_salary_loss: 0.5670 - output_age_loss: 173.1523 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 173.1523
13024/24129 [===============>..............] - ETA: 2s - loss: 173.6804 - output_salary_loss: 0.5670 - output_age_loss: 173.1134 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 173.1134
13120/24129 [===============>..............] - ETA: 2s - loss: 173.4907 - output_salary_loss: 0.5674 - output_age_loss: 172.9233 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 172.9233
13248/24129 [===============>..............] - ETA: 2s - loss: 173.3865 - output_salary_loss: 0.5673 - output_age_loss: 172.8193 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 172.8193
13376/24129 [===============>..............] - ETA: 2s - loss: 173.2856 - output_salary_loss: 0.5673 - output_age_loss: 172.7184 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 172.7184
13504/24129 [===============>..............] - ETA: 2s - loss: 173.3545 - output_salary_loss: 0.5670 - output_age_loss: 172.7874 - output_salary_acc: 0.7503 - output_age_mean_squared_error: 172.7874
13568/24129 [===============>..............] - ETA: 2s - loss: 172.9947 - output_salary_loss: 0.5671 - output_age_loss: 172.4275 - output_salary_acc: 0.7502 - output_age_mean_squared_error: 172.4275
13664/24129 [===============>..............] - ETA: 2s - loss: 173.2372 - output_salary_loss: 0.5671 - output_age_loss: 172.6700 - output_salary_acc: 0.7502 - output_age_mean_squared_error: 172.6700
13792/24129 [================>.............] - ETA: 2s - loss: 173.2132 - output_salary_loss: 0.5668 - output_age_loss: 172.6464 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 172.6464
13888/24129 [================>.............] - ETA: 2s - loss: 173.0484 - output_salary_loss: 0.5668 - output_age_loss: 172.4815 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 172.4815
14016/24129 [================>.............] - ETA: 2s - loss: 172.6675 - output_salary_loss: 0.5670 - output_age_loss: 172.1006 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 172.1006
14080/24129 [================>.............] - ETA: 2s - loss: 172.5371 - output_salary_loss: 0.5667 - output_age_loss: 171.9704 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 171.9704
14208/24129 [================>.............] - ETA: 2s - loss: 172.4831 - output_salary_loss: 0.5665 - output_age_loss: 171.9167 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 171.9167
14336/24129 [================>.............] - ETA: 2s - loss: 172.2162 - output_salary_loss: 0.5661 - output_age_loss: 171.6502 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 171.6502
14464/24129 [================>.............] - ETA: 2s - loss: 172.5499 - output_salary_loss: 0.5658 - output_age_loss: 171.9842 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 171.9842
14528/24129 [=================>............] - ETA: 2s - loss: 172.3906 - output_salary_loss: 0.5657 - output_age_loss: 171.8249 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 171.8249
14816/24129 [=================>............] - ETA: 2s - loss: 172.5995 - output_salary_loss: 0.5663 - output_age_loss: 172.0332 - output_salary_acc: 0.7509 - output_age_mean_squared_error: 172.0332
14912/24129 [=================>............] - ETA: 2s - loss: 172.7381 - output_salary_loss: 0.5661 - output_age_loss: 172.1721 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 172.1721
15040/24129 [=================>............] - ETA: 2s - loss: 173.2242 - output_salary_loss: 0.5663 - output_age_loss: 172.6579 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 172.6579
15168/24129 [=================>............] - ETA: 2s - loss: 173.0482 - output_salary_loss: 0.5666 - output_age_loss: 172.4817 - output_salary_acc: 0.7503 - output_age_mean_squared_error: 172.4817
15264/24129 [=================>............] - ETA: 2s - loss: 173.2036 - output_salary_loss: 0.5665 - output_age_loss: 172.6372 - output_salary_acc: 0.7502 - output_age_mean_squared_error: 172.6372
15360/24129 [==================>...........] - ETA: 2s - loss: 173.1370 - output_salary_loss: 0.5665 - output_age_loss: 172.5706 - output_salary_acc: 0.7501 - output_age_mean_squared_error: 172.5706
15424/24129 [==================>...........] - ETA: 2s - loss: 173.2152 - output_salary_loss: 0.5668 - output_age_loss: 172.6484 - output_salary_acc: 0.7496 - output_age_mean_squared_error: 172.6484
15520/24129 [==================>...........] - ETA: 2s - loss: 172.9491 - output_salary_loss: 0.5666 - output_age_loss: 172.3825 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 172.3825
15648/24129 [==================>...........] - ETA: 2s - loss: 172.7750 - output_salary_loss: 0.5664 - output_age_loss: 172.2086 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 172.2086
15744/24129 [==================>...........] - ETA: 2s - loss: 172.4777 - output_salary_loss: 0.5664 - output_age_loss: 171.9113 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 171.9113
15808/24129 [==================>...........] - ETA: 2s - loss: 172.4782 - output_salary_loss: 0.5667 - output_age_loss: 171.9115 - output_salary_acc: 0.7497 - output_age_mean_squared_error: 171.9115
15904/24129 [==================>...........] - ETA: 2s - loss: 172.5821 - output_salary_loss: 0.5665 - output_age_loss: 172.0156 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 172.0156
16000/24129 [==================>...........] - ETA: 2s - loss: 172.4749 - output_salary_loss: 0.5670 - output_age_loss: 171.9078 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 171.9078
16160/24129 [===================>..........] - ETA: 2s - loss: 172.6713 - output_salary_loss: 0.5668 - output_age_loss: 172.1045 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 172.1045
16288/24129 [===================>..........] - ETA: 2s - loss: 172.8360 - output_salary_loss: 0.5672 - output_age_loss: 172.2688 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 172.2688
16352/24129 [===================>..........] - ETA: 2s - loss: 173.0196 - output_salary_loss: 0.5674 - output_age_loss: 172.4522 - output_salary_acc: 0.7488 - output_age_mean_squared_error: 172.4522
16480/24129 [===================>..........] - ETA: 2s - loss: 173.3074 - output_salary_loss: 0.5673 - output_age_loss: 172.7401 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 172.7401
16704/24129 [===================>..........] - ETA: 2s - loss: 173.5751 - output_salary_loss: 0.5675 - output_age_loss: 173.0076 - output_salary_acc: 0.7487 - output_age_mean_squared_error: 173.0076
17056/24129 [====================>.........] - ETA: 2s - loss: 173.3316 - output_salary_loss: 0.5668 - output_age_loss: 172.7648 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 172.7648
17472/24129 [====================>.........] - ETA: 1s - loss: 172.9390 - output_salary_loss: 0.5662 - output_age_loss: 172.3729 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 172.3729
17760/24129 [=====================>........] - ETA: 1s - loss: 172.9785 - output_salary_loss: 0.5661 - output_age_loss: 172.4125 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 172.4125
18080/24129 [=====================>........] - ETA: 1s - loss: 172.4079 - output_salary_loss: 0.5656 - output_age_loss: 171.8423 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 171.8423
18464/24129 [=====================>........] - ETA: 1s - loss: 172.6280 - output_salary_loss: 0.5656 - output_age_loss: 172.0623 - output_salary_acc: 0.7502 - output_age_mean_squared_error: 172.0623
18752/24129 [======================>.......] - ETA: 1s - loss: 172.2585 - output_salary_loss: 0.5666 - output_age_loss: 171.6918 - output_salary_acc: 0.7489 - output_age_mean_squared_error: 171.6918
19040/24129 [======================>.......] - ETA: 1s - loss: 172.1062 - output_salary_loss: 0.5664 - output_age_loss: 171.5397 - output_salary_acc: 0.7491 - output_age_mean_squared_error: 171.5397
19264/24129 [======================>.......] - ETA: 1s - loss: 171.9178 - output_salary_loss: 0.5661 - output_age_loss: 171.3517 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 171.3517
19360/24129 [=======================>......] - ETA: 1s - loss: 171.9582 - output_salary_loss: 0.5658 - output_age_loss: 171.3924 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 171.3924
19424/24129 [=======================>......] - ETA: 1s - loss: 171.8861 - output_salary_loss: 0.5654 - output_age_loss: 171.3207 - output_salary_acc: 0.7497 - output_age_mean_squared_error: 171.3207
19552/24129 [=======================>......] - ETA: 1s - loss: 171.7515 - output_salary_loss: 0.5650 - output_age_loss: 171.1865 - output_salary_acc: 0.7501 - output_age_mean_squared_error: 171.1865
19616/24129 [=======================>......] - ETA: 1s - loss: 171.9460 - output_salary_loss: 0.5650 - output_age_loss: 171.3809 - output_salary_acc: 0.7501 - output_age_mean_squared_error: 171.3809
19744/24129 [=======================>......] - ETA: 1s - loss: 171.8021 - output_salary_loss: 0.5649 - output_age_loss: 171.2372 - output_salary_acc: 0.7503 - output_age_mean_squared_error: 171.2372
19808/24129 [=======================>......] - ETA: 1s - loss: 171.7564 - output_salary_loss: 0.5651 - output_age_loss: 171.1913 - output_salary_acc: 0.7501 - output_age_mean_squared_error: 171.1913
19936/24129 [=======================>......] - ETA: 1s - loss: 171.8549 - output_salary_loss: 0.5650 - output_age_loss: 171.2899 - output_salary_acc: 0.7502 - output_age_mean_squared_error: 171.2899
20032/24129 [=======================>......] - ETA: 1s - loss: 171.6349 - output_salary_loss: 0.5646 - output_age_loss: 171.0703 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 171.0703
20096/24129 [=======================>......] - ETA: 1s - loss: 171.7203 - output_salary_loss: 0.5645 - output_age_loss: 171.1558 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 171.1558
20192/24129 [========================>.....] - ETA: 1s - loss: 171.7028 - output_salary_loss: 0.5642 - output_age_loss: 171.1386 - output_salary_acc: 0.7509 - output_age_mean_squared_error: 171.1386
20288/24129 [========================>.....] - ETA: 1s - loss: 171.6264 - output_salary_loss: 0.5643 - output_age_loss: 171.0621 - output_salary_acc: 0.7509 - output_age_mean_squared_error: 171.0621
20352/24129 [========================>.....] - ETA: 1s - loss: 171.4541 - output_salary_loss: 0.5645 - output_age_loss: 170.8896 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 170.8896
20480/24129 [========================>.....] - ETA: 1s - loss: 171.3431 - output_salary_loss: 0.5648 - output_age_loss: 170.7783 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 170.7783
20544/24129 [========================>.....] - ETA: 1s - loss: 171.3184 - output_salary_loss: 0.5648 - output_age_loss: 170.7536 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 170.7536
20608/24129 [========================>.....] - ETA: 1s - loss: 171.3904 - output_salary_loss: 0.5647 - output_age_loss: 170.8257 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 170.8257
20704/24129 [========================>.....] - ETA: 1s - loss: 171.3615 - output_salary_loss: 0.5642 - output_age_loss: 170.7973 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 170.7973
20864/24129 [========================>.....] - ETA: 0s - loss: 171.3042 - output_salary_loss: 0.5640 - output_age_loss: 170.7403 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 170.7403
21120/24129 [=========================>....] - ETA: 0s - loss: 171.2300 - output_salary_loss: 0.5636 - output_age_loss: 170.6664 - output_salary_acc: 0.7517 - output_age_mean_squared_error: 170.6664
21408/24129 [=========================>....] - ETA: 0s - loss: 171.3314 - output_salary_loss: 0.5636 - output_age_loss: 170.7678 - output_salary_acc: 0.7516 - output_age_mean_squared_error: 170.7678
21664/24129 [=========================>....] - ETA: 0s - loss: 171.3671 - output_salary_loss: 0.5636 - output_age_loss: 170.8035 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 170.8035
22016/24129 [==========================>...] - ETA: 0s - loss: 171.4995 - output_salary_loss: 0.5641 - output_age_loss: 170.9354 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 170.9354
22304/24129 [==========================>...] - ETA: 0s - loss: 171.6208 - output_salary_loss: 0.5641 - output_age_loss: 171.0567 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 171.0567
22624/24129 [===========================>..] - ETA: 0s - loss: 171.4407 - output_salary_loss: 0.5639 - output_age_loss: 170.8768 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 170.8768
22848/24129 [===========================>..] - ETA: 0s - loss: 171.2551 - output_salary_loss: 0.5637 - output_age_loss: 170.6914 - output_salary_acc: 0.7517 - output_age_mean_squared_error: 170.6914
22912/24129 [===========================>..] - ETA: 0s - loss: 171.2245 - output_salary_loss: 0.5638 - output_age_loss: 170.6607 - output_salary_acc: 0.7516 - output_age_mean_squared_error: 170.6607
23040/24129 [===========================>..] - ETA: 0s - loss: 171.5573 - output_salary_loss: 0.5638 - output_age_loss: 170.9935 - output_salary_acc: 0.7516 - output_age_mean_squared_error: 170.9935
23104/24129 [===========================>..] - ETA: 0s - loss: 171.4027 - output_salary_loss: 0.5639 - output_age_loss: 170.8389 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 170.8389
23200/24129 [===========================>..] - ETA: 0s - loss: 171.2712 - output_salary_loss: 0.5641 - output_age_loss: 170.7071 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 170.7071
23264/24129 [===========================>..] - ETA: 0s - loss: 171.3226 - output_salary_loss: 0.5640 - output_age_loss: 170.7586 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 170.7586
23360/24129 [============================>.] - ETA: 0s - loss: 171.2752 - output_salary_loss: 0.5640 - output_age_loss: 170.7112 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 170.7112
23424/24129 [============================>.] - ETA: 0s - loss: 171.2951 - output_salary_loss: 0.5639 - output_age_loss: 170.7313 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 170.7313
23520/24129 [============================>.] - ETA: 0s - loss: 171.3098 - output_salary_loss: 0.5637 - output_age_loss: 170.7461 - output_salary_acc: 0.7517 - output_age_mean_squared_error: 170.7461
23616/24129 [============================>.] - ETA: 0s - loss: 171.4248 - output_salary_loss: 0.5638 - output_age_loss: 170.8610 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 170.8610
23712/24129 [============================>.] - ETA: 0s - loss: 171.7826 - output_salary_loss: 0.5640 - output_age_loss: 171.2187 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 171.2187
23808/24129 [============================>.] - ETA: 0s - loss: 171.6751 - output_salary_loss: 0.5640 - output_age_loss: 171.1110 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 171.1110
23968/24129 [============================>.] - ETA: 0s - loss: 171.6482 - output_salary_loss: 0.5641 - output_age_loss: 171.0841 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 171.0841
24032/24129 [============================>.] - ETA: 0s - loss: 171.6005 - output_salary_loss: 0.5639 - output_age_loss: 171.0366 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 171.0366
24096/24129 [============================>.] - ETA: 0s - loss: 171.5840 - output_salary_loss: 0.5639 - output_age_loss: 171.0201 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 171.0201
24129/24129 [==============================] - 8s 322us/step - loss: 171.5468 - output_salary_loss: 0.5641 - output_age_loss: 170.9828 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 170.9828 - val_loss: 101.2399 - val_output_salary_loss: 0.5597 - val_output_age_loss: 100.6803 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 100.6803
Epoch 6/20
32/24129 [..............................] - ETA: 13s - loss: 163.2405 - output_salary_loss: 0.6019 - output_age_loss: 162.6387 - output_salary_acc: 0.7188 - output_age_mean_squared_error: 162.6387
192/24129 [..............................] - ETA: 8s - loss: 147.0565 - output_salary_loss: 0.5572 - output_age_loss: 146.4993 - output_salary_acc: 0.7604 - output_age_mean_squared_error: 146.4993
352/24129 [..............................] - ETA: 8s - loss: 170.4495 - output_salary_loss: 0.5689 - output_age_loss: 169.8805 - output_salary_acc: 0.7415 - output_age_mean_squared_error: 169.8805
512/24129 [..............................] - ETA: 7s - loss: 173.1421 - output_salary_loss: 0.5730 - output_age_loss: 172.5691 - output_salary_acc: 0.7383 - output_age_mean_squared_error: 172.5691
672/24129 [..............................] - ETA: 7s - loss: 172.6630 - output_salary_loss: 0.5579 - output_age_loss: 172.1051 - output_salary_acc: 0.7574 - output_age_mean_squared_error: 172.1051
832/24129 [>.............................] - ETA: 7s - loss: 168.2276 - output_salary_loss: 0.5652 - output_age_loss: 167.6624 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 167.6624
1024/24129 [>.............................] - ETA: 7s - loss: 161.9501 - output_salary_loss: 0.5521 - output_age_loss: 161.3980 - output_salary_acc: 0.7617 - output_age_mean_squared_error: 161.3980
1184/24129 [>.............................] - ETA: 7s - loss: 157.1908 - output_salary_loss: 0.5466 - output_age_loss: 156.6442 - output_salary_acc: 0.7660 - output_age_mean_squared_error: 156.6442
1344/24129 [>.............................] - ETA: 7s - loss: 158.0236 - output_salary_loss: 0.5586 - output_age_loss: 157.4650 - output_salary_acc: 0.7567 - output_age_mean_squared_error: 157.4650
1504/24129 [>.............................] - ETA: 7s - loss: 163.2810 - output_salary_loss: 0.5633 - output_age_loss: 162.7177 - output_salary_acc: 0.7527 - output_age_mean_squared_error: 162.7177
1664/24129 [=>............................] - ETA: 7s - loss: 164.0407 - output_salary_loss: 0.5627 - output_age_loss: 163.4781 - output_salary_acc: 0.7542 - output_age_mean_squared_error: 163.4781
1856/24129 [=>............................] - ETA: 7s - loss: 161.5460 - output_salary_loss: 0.5607 - output_age_loss: 160.9852 - output_salary_acc: 0.7559 - output_age_mean_squared_error: 160.9852
2048/24129 [=>............................] - ETA: 7s - loss: 160.9224 - output_salary_loss: 0.5614 - output_age_loss: 160.3610 - output_salary_acc: 0.7554 - output_age_mean_squared_error: 160.3610
2240/24129 [=>............................] - ETA: 7s - loss: 163.9558 - output_salary_loss: 0.5692 - output_age_loss: 163.3867 - output_salary_acc: 0.7487 - output_age_mean_squared_error: 163.3867
2400/24129 [=>............................] - ETA: 7s - loss: 165.0316 - output_salary_loss: 0.5712 - output_age_loss: 164.4604 - output_salary_acc: 0.7458 - output_age_mean_squared_error: 164.4604
2560/24129 [==>...........................] - ETA: 7s - loss: 166.3966 - output_salary_loss: 0.5719 - output_age_loss: 165.8247 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 165.8247
2720/24129 [==>...........................] - ETA: 7s - loss: 165.0988 - output_salary_loss: 0.5724 - output_age_loss: 164.5264 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 164.5264
2880/24129 [==>...........................] - ETA: 6s - loss: 165.8653 - output_salary_loss: 0.5713 - output_age_loss: 165.2940 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 165.2940
3296/24129 [===>..........................] - ETA: 6s - loss: 165.4446 - output_salary_loss: 0.5656 - output_age_loss: 164.8790 - output_salary_acc: 0.7491 - output_age_mean_squared_error: 164.8790
3968/24129 [===>..........................] - ETA: 5s - loss: 163.6998 - output_salary_loss: 0.5666 - output_age_loss: 163.1332 - output_salary_acc: 0.7460 - output_age_mean_squared_error: 163.1332
4640/24129 [====>.........................] - ETA: 4s - loss: 161.5839 - output_salary_loss: 0.5618 - output_age_loss: 161.0221 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 161.0221
5312/24129 [=====>........................] - ETA: 4s - loss: 162.5142 - output_salary_loss: 0.5605 - output_age_loss: 161.9536 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 161.9536
5952/24129 [======>.......................] - ETA: 3s - loss: 164.3456 - output_salary_loss: 0.5623 - output_age_loss: 163.7833 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 163.7833
6624/24129 [=======>......................] - ETA: 3s - loss: 165.2796 - output_salary_loss: 0.5617 - output_age_loss: 164.7179 - output_salary_acc: 0.7494 - output_age_mean_squared_error: 164.7179
7264/24129 [========>.....................] - ETA: 3s - loss: 167.0955 - output_salary_loss: 0.5614 - output_age_loss: 166.5341 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 166.5341
7904/24129 [========>.....................] - ETA: 2s - loss: 167.4587 - output_salary_loss: 0.5604 - output_age_loss: 166.8983 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 166.8983
8480/24129 [=========>....................] - ETA: 2s - loss: 166.8890 - output_salary_loss: 0.5596 - output_age_loss: 166.3294 - output_salary_acc: 0.7518 - output_age_mean_squared_error: 166.3294
9088/24129 [==========>...................] - ETA: 2s - loss: 167.4210 - output_salary_loss: 0.5594 - output_age_loss: 166.8616 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 166.8616
9696/24129 [===========>..................] - ETA: 2s - loss: 168.0334 - output_salary_loss: 0.5592 - output_age_loss: 167.4742 - output_salary_acc: 0.7517 - output_age_mean_squared_error: 167.4742
10336/24129 [===========>..................] - ETA: 2s - loss: 168.6869 - output_salary_loss: 0.5597 - output_age_loss: 168.1272 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 168.1272
11008/24129 [============>.................] - ETA: 1s - loss: 168.5799 - output_salary_loss: 0.5598 - output_age_loss: 168.0201 - output_salary_acc: 0.7516 - output_age_mean_squared_error: 168.0201
11680/24129 [=============>................] - ETA: 1s - loss: 169.3856 - output_salary_loss: 0.5594 - output_age_loss: 168.8261 - output_salary_acc: 0.7521 - output_age_mean_squared_error: 168.8261
12416/24129 [==============>...............] - ETA: 1s - loss: 168.2692 - output_salary_loss: 0.5590 - output_age_loss: 167.7102 - output_salary_acc: 0.7526 - output_age_mean_squared_error: 167.7102
13088/24129 [===============>..............] - ETA: 1s - loss: 168.4460 - output_salary_loss: 0.5588 - output_age_loss: 167.8872 - output_salary_acc: 0.7524 - output_age_mean_squared_error: 167.8872
13728/24129 [================>.............] - ETA: 1s - loss: 168.2004 - output_salary_loss: 0.5591 - output_age_loss: 167.6413 - output_salary_acc: 0.7523 - output_age_mean_squared_error: 167.6413
14144/24129 [================>.............] - ETA: 1s - loss: 169.2749 - output_salary_loss: 0.5592 - output_age_loss: 168.7157 - output_salary_acc: 0.7517 - output_age_mean_squared_error: 168.7157
14816/24129 [=================>............] - ETA: 1s - loss: 169.5706 - output_salary_loss: 0.5592 - output_age_loss: 169.0114 - output_salary_acc: 0.7519 - output_age_mean_squared_error: 169.0114
15488/24129 [==================>...........] - ETA: 1s - loss: 169.1645 - output_salary_loss: 0.5601 - output_age_loss: 168.6044 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 168.6044
16064/24129 [==================>...........] - ETA: 1s - loss: 169.7638 - output_salary_loss: 0.5598 - output_age_loss: 169.2039 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 169.2039
16544/24129 [===================>..........] - ETA: 0s - loss: 169.9590 - output_salary_loss: 0.5597 - output_age_loss: 169.3993 - output_salary_acc: 0.7516 - output_age_mean_squared_error: 169.3993
17184/24129 [====================>.........] - ETA: 0s - loss: 170.0228 - output_salary_loss: 0.5601 - output_age_loss: 169.4628 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 169.4628
17888/24129 [=====================>........] - ETA: 0s - loss: 170.1801 - output_salary_loss: 0.5605 - output_age_loss: 169.6197 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 169.6197
18592/24129 [======================>.......] - ETA: 0s - loss: 170.4130 - output_salary_loss: 0.5608 - output_age_loss: 169.8521 - output_salary_acc: 0.7502 - output_age_mean_squared_error: 169.8521
19040/24129 [======================>.......] - ETA: 0s - loss: 170.5198 - output_salary_loss: 0.5607 - output_age_loss: 169.9590 - output_salary_acc: 0.7503 - output_age_mean_squared_error: 169.9590
19584/24129 [=======================>......] - ETA: 0s - loss: 170.5382 - output_salary_loss: 0.5599 - output_age_loss: 169.9783 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 169.9783
20000/24129 [=======================>......] - ETA: 0s - loss: 170.5261 - output_salary_loss: 0.5604 - output_age_loss: 169.9657 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 169.9657
20256/24129 [========================>.....] - ETA: 0s - loss: 170.0462 - output_salary_loss: 0.5603 - output_age_loss: 169.4859 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 169.4859
20416/24129 [========================>.....] - ETA: 0s - loss: 170.0955 - output_salary_loss: 0.5597 - output_age_loss: 169.5358 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 169.5358
20480/24129 [========================>.....] - ETA: 0s - loss: 170.0967 - output_salary_loss: 0.5599 - output_age_loss: 169.5368 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 169.5368
20608/24129 [========================>.....] - ETA: 0s - loss: 169.9287 - output_salary_loss: 0.5605 - output_age_loss: 169.3682 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 169.3682
20704/24129 [========================>.....] - ETA: 0s - loss: 169.8557 - output_salary_loss: 0.5607 - output_age_loss: 169.2950 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 169.2950
20800/24129 [========================>.....] - ETA: 0s - loss: 169.7854 - output_salary_loss: 0.5602 - output_age_loss: 169.2252 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 169.2252
20928/24129 [=========================>....] - ETA: 0s - loss: 169.7104 - output_salary_loss: 0.5603 - output_age_loss: 169.1500 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 169.1500
20992/24129 [=========================>....] - ETA: 0s - loss: 169.6647 - output_salary_loss: 0.5603 - output_age_loss: 169.1044 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 169.1044
21088/24129 [=========================>....] - ETA: 0s - loss: 169.6258 - output_salary_loss: 0.5603 - output_age_loss: 169.0656 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 169.0656
21216/24129 [=========================>....] - ETA: 0s - loss: 169.6596 - output_salary_loss: 0.5603 - output_age_loss: 169.0993 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 169.0993
21312/24129 [=========================>....] - ETA: 0s - loss: 169.7248 - output_salary_loss: 0.5603 - output_age_loss: 169.1646 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 169.1646
21440/24129 [=========================>....] - ETA: 0s - loss: 169.8845 - output_salary_loss: 0.5606 - output_age_loss: 169.3239 - output_salary_acc: 0.7503 - output_age_mean_squared_error: 169.3239
21536/24129 [=========================>....] - ETA: 0s - loss: 169.8514 - output_salary_loss: 0.5602 - output_age_loss: 169.2913 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 169.2913
21632/24129 [=========================>....] - ETA: 0s - loss: 169.7422 - output_salary_loss: 0.5601 - output_age_loss: 169.1820 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 169.1820
21728/24129 [==========================>...] - ETA: 0s - loss: 169.6780 - output_salary_loss: 0.5601 - output_age_loss: 169.1179 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 169.1179
21792/24129 [==========================>...] - ETA: 0s - loss: 169.8242 - output_salary_loss: 0.5599 - output_age_loss: 169.2642 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 169.2642
21952/24129 [==========================>...] - ETA: 0s - loss: 169.4775 - output_salary_loss: 0.5598 - output_age_loss: 168.9177 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 168.9177
22048/24129 [==========================>...] - ETA: 0s - loss: 169.2639 - output_salary_loss: 0.5598 - output_age_loss: 168.7040 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 168.7040
22304/24129 [==========================>...] - ETA: 0s - loss: 169.3125 - output_salary_loss: 0.5595 - output_age_loss: 168.7530 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 168.7530
22432/24129 [==========================>...] - ETA: 0s - loss: 169.2163 - output_salary_loss: 0.5595 - output_age_loss: 168.6569 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 168.6569
22560/24129 [===========================>..] - ETA: 0s - loss: 168.8240 - output_salary_loss: 0.5595 - output_age_loss: 168.2644 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 168.2644
22656/24129 [===========================>..] - ETA: 0s - loss: 168.7401 - output_salary_loss: 0.5594 - output_age_loss: 168.1808 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 168.1808
22720/24129 [===========================>..] - ETA: 0s - loss: 168.6587 - output_salary_loss: 0.5594 - output_age_loss: 168.0993 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 168.0993
22848/24129 [===========================>..] - ETA: 0s - loss: 168.4439 - output_salary_loss: 0.5594 - output_age_loss: 167.8846 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 167.8846
22976/24129 [===========================>..] - ETA: 0s - loss: 168.5132 - output_salary_loss: 0.5593 - output_age_loss: 167.9539 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 167.9539
23136/24129 [===========================>..] - ETA: 0s - loss: 168.5976 - output_salary_loss: 0.5590 - output_age_loss: 168.0386 - output_salary_acc: 0.7516 - output_age_mean_squared_error: 168.0386
23232/24129 [===========================>..] - ETA: 0s - loss: 168.5642 - output_salary_loss: 0.5592 - output_age_loss: 168.0050 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 168.0050
23328/24129 [============================>.] - ETA: 0s - loss: 168.5832 - output_salary_loss: 0.5593 - output_age_loss: 168.0239 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 168.0239
23424/24129 [============================>.] - ETA: 0s - loss: 168.7294 - output_salary_loss: 0.5590 - output_age_loss: 168.1704 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 168.1704
23552/24129 [============================>.] - ETA: 0s - loss: 168.8239 - output_salary_loss: 0.5589 - output_age_loss: 168.2650 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 168.2650
23648/24129 [============================>.] - ETA: 0s - loss: 168.6531 - output_salary_loss: 0.5589 - output_age_loss: 168.0942 - output_salary_acc: 0.7516 - output_age_mean_squared_error: 168.0942
23776/24129 [============================>.] - ETA: 0s - loss: 168.4127 - output_salary_loss: 0.5587 - output_age_loss: 167.8540 - output_salary_acc: 0.7517 - output_age_mean_squared_error: 167.8540
23872/24129 [============================>.] - ETA: 0s - loss: 168.4008 - output_salary_loss: 0.5588 - output_age_loss: 167.8420 - output_salary_acc: 0.7517 - output_age_mean_squared_error: 167.8420
23968/24129 [============================>.] - ETA: 0s - loss: 168.3599 - output_salary_loss: 0.5591 - output_age_loss: 167.8008 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 167.8008
24129/24129 [==============================] - 5s 196us/step - loss: 168.4076 - output_salary_loss: 0.5593 - output_age_loss: 167.8482 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 167.8482 - val_loss: 100.9353 - val_output_salary_loss: 0.5563 - val_output_age_loss: 100.3790 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 100.3790
Epoch 7/20
32/24129 [..............................] - ETA: 2s - loss: 131.9868 - output_salary_loss: 0.5123 - output_age_loss: 131.4746 - output_salary_acc: 0.7812 - output_age_mean_squared_error: 131.4746
512/24129 [..............................] - ETA: 2s - loss: 179.4107 - output_salary_loss: 0.5526 - output_age_loss: 178.8580 - output_salary_acc: 0.7578 - output_age_mean_squared_error: 178.8580
1184/24129 [>.............................] - ETA: 2s - loss: 169.1726 - output_salary_loss: 0.5552 - output_age_loss: 168.6174 - output_salary_acc: 0.7517 - output_age_mean_squared_error: 168.6174
1824/24129 [=>............................] - ETA: 1s - loss: 172.6905 - output_salary_loss: 0.5515 - output_age_loss: 172.1390 - output_salary_acc: 0.7566 - output_age_mean_squared_error: 172.1390
2496/24129 [==>...........................] - ETA: 1s - loss: 170.6273 - output_salary_loss: 0.5501 - output_age_loss: 170.0772 - output_salary_acc: 0.7596 - output_age_mean_squared_error: 170.0772
3168/24129 [==>...........................] - ETA: 1s - loss: 171.3107 - output_salary_loss: 0.5470 - output_age_loss: 170.7637 - output_salary_acc: 0.7620 - output_age_mean_squared_error: 170.7637
3840/24129 [===>..........................] - ETA: 1s - loss: 169.4951 - output_salary_loss: 0.5471 - output_age_loss: 168.9480 - output_salary_acc: 0.7609 - output_age_mean_squared_error: 168.9480
4512/24129 [====>.........................] - ETA: 1s - loss: 165.7408 - output_salary_loss: 0.5488 - output_age_loss: 165.1920 - output_salary_acc: 0.7573 - output_age_mean_squared_error: 165.1920
5088/24129 [=====>........................] - ETA: 1s - loss: 165.3274 - output_salary_loss: 0.5496 - output_age_loss: 164.7778 - output_salary_acc: 0.7559 - output_age_mean_squared_error: 164.7778
5664/24129 [======>.......................] - ETA: 1s - loss: 168.0429 - output_salary_loss: 0.5502 - output_age_loss: 167.4927 - output_salary_acc: 0.7558 - output_age_mean_squared_error: 167.4927
6272/24129 [======>.......................] - ETA: 1s - loss: 168.4913 - output_salary_loss: 0.5524 - output_age_loss: 167.9390 - output_salary_acc: 0.7543 - output_age_mean_squared_error: 167.9390
6912/24129 [=======>......................] - ETA: 1s - loss: 166.2785 - output_salary_loss: 0.5524 - output_age_loss: 165.7261 - output_salary_acc: 0.7545 - output_age_mean_squared_error: 165.7261
7584/24129 [========>.....................] - ETA: 1s - loss: 164.9394 - output_salary_loss: 0.5524 - output_age_loss: 164.3869 - output_salary_acc: 0.7537 - output_age_mean_squared_error: 164.3869
8128/24129 [=========>....................] - ETA: 1s - loss: 165.4170 - output_salary_loss: 0.5524 - output_age_loss: 164.8646 - output_salary_acc: 0.7539 - output_age_mean_squared_error: 164.8646
8576/24129 [=========>....................] - ETA: 1s - loss: 165.4506 - output_salary_loss: 0.5547 - output_age_loss: 164.8960 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 164.8960
9280/24129 [==========>...................] - ETA: 1s - loss: 165.0683 - output_salary_loss: 0.5527 - output_age_loss: 164.5155 - output_salary_acc: 0.7533 - output_age_mean_squared_error: 164.5155
9664/24129 [===========>..................] - ETA: 1s - loss: 165.1912 - output_salary_loss: 0.5530 - output_age_loss: 164.6382 - output_salary_acc: 0.7528 - output_age_mean_squared_error: 164.6382
9984/24129 [===========>..................] - ETA: 1s - loss: 164.9158 - output_salary_loss: 0.5524 - output_age_loss: 164.3634 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 164.3634
10272/24129 [===========>..................] - ETA: 1s - loss: 164.8803 - output_salary_loss: 0.5521 - output_age_loss: 164.3282 - output_salary_acc: 0.7535 - output_age_mean_squared_error: 164.3282
10688/24129 [============>.................] - ETA: 1s - loss: 164.4908 - output_salary_loss: 0.5507 - output_age_loss: 163.9401 - output_salary_acc: 0.7548 - output_age_mean_squared_error: 163.9401
10784/24129 [============>.................] - ETA: 1s - loss: 164.3372 - output_salary_loss: 0.5512 - output_age_loss: 163.7860 - output_salary_acc: 0.7545 - output_age_mean_squared_error: 163.7860
10880/24129 [============>.................] - ETA: 1s - loss: 165.1634 - output_salary_loss: 0.5521 - output_age_loss: 164.6112 - output_salary_acc: 0.7537 - output_age_mean_squared_error: 164.6112
11008/24129 [============>.................] - ETA: 1s - loss: 165.0242 - output_salary_loss: 0.5521 - output_age_loss: 164.4721 - output_salary_acc: 0.7534 - output_age_mean_squared_error: 164.4721
11104/24129 [============>.................] - ETA: 1s - loss: 164.8383 - output_salary_loss: 0.5520 - output_age_loss: 164.2863 - output_salary_acc: 0.7535 - output_age_mean_squared_error: 164.2863
11232/24129 [============>.................] - ETA: 1s - loss: 164.5259 - output_salary_loss: 0.5524 - output_age_loss: 163.9735 - output_salary_acc: 0.7529 - output_age_mean_squared_error: 163.9735
11328/24129 [=============>................] - ETA: 1s - loss: 164.2922 - output_salary_loss: 0.5525 - output_age_loss: 163.7397 - output_salary_acc: 0.7528 - output_age_mean_squared_error: 163.7397
11392/24129 [=============>................] - ETA: 1s - loss: 164.1576 - output_salary_loss: 0.5524 - output_age_loss: 163.6052 - output_salary_acc: 0.7530 - output_age_mean_squared_error: 163.6052
11520/24129 [=============>................] - ETA: 1s - loss: 164.1102 - output_salary_loss: 0.5526 - output_age_loss: 163.5576 - output_salary_acc: 0.7529 - output_age_mean_squared_error: 163.5576
11616/24129 [=============>................] - ETA: 1s - loss: 164.2832 - output_salary_loss: 0.5524 - output_age_loss: 163.7309 - output_salary_acc: 0.7532 - output_age_mean_squared_error: 163.7309
11712/24129 [=============>................] - ETA: 1s - loss: 163.9577 - output_salary_loss: 0.5521 - output_age_loss: 163.4057 - output_salary_acc: 0.7533 - output_age_mean_squared_error: 163.4057
11872/24129 [=============>................] - ETA: 1s - loss: 164.0034 - output_salary_loss: 0.5519 - output_age_loss: 163.4515 - output_salary_acc: 0.7535 - output_age_mean_squared_error: 163.4515
11968/24129 [=============>................] - ETA: 1s - loss: 163.9558 - output_salary_loss: 0.5518 - output_age_loss: 163.4040 - output_salary_acc: 0.7536 - output_age_mean_squared_error: 163.4040
12064/24129 [=============>................] - ETA: 1s - loss: 164.2588 - output_salary_loss: 0.5517 - output_age_loss: 163.7070 - output_salary_acc: 0.7537 - output_age_mean_squared_error: 163.7070
12160/24129 [==============>...............] - ETA: 1s - loss: 164.2743 - output_salary_loss: 0.5518 - output_age_loss: 163.7225 - output_salary_acc: 0.7538 - output_age_mean_squared_error: 163.7225
12256/24129 [==============>...............] - ETA: 1s - loss: 164.2922 - output_salary_loss: 0.5519 - output_age_loss: 163.7403 - output_salary_acc: 0.7538 - output_age_mean_squared_error: 163.7403
12320/24129 [==============>...............] - ETA: 1s - loss: 164.3479 - output_salary_loss: 0.5520 - output_age_loss: 163.7959 - output_salary_acc: 0.7536 - output_age_mean_squared_error: 163.7959
12512/24129 [==============>...............] - ETA: 1s - loss: 164.3197 - output_salary_loss: 0.5517 - output_age_loss: 163.7680 - output_salary_acc: 0.7540 - output_age_mean_squared_error: 163.7680
12768/24129 [==============>...............] - ETA: 1s - loss: 164.3225 - output_salary_loss: 0.5532 - output_age_loss: 163.7693 - output_salary_acc: 0.7526 - output_age_mean_squared_error: 163.7693
13056/24129 [===============>..............] - ETA: 1s - loss: 164.2573 - output_salary_loss: 0.5531 - output_age_loss: 163.7042 - output_salary_acc: 0.7527 - output_age_mean_squared_error: 163.7042
13216/24129 [===============>..............] - ETA: 1s - loss: 164.2670 - output_salary_loss: 0.5527 - output_age_loss: 163.7143 - output_salary_acc: 0.7530 - output_age_mean_squared_error: 163.7143
13312/24129 [===============>..............] - ETA: 1s - loss: 164.0481 - output_salary_loss: 0.5529 - output_age_loss: 163.4952 - output_salary_acc: 0.7527 - output_age_mean_squared_error: 163.4952
13376/24129 [===============>..............] - ETA: 1s - loss: 164.4873 - output_salary_loss: 0.5526 - output_age_loss: 163.9346 - output_salary_acc: 0.7530 - output_age_mean_squared_error: 163.9346
13472/24129 [===============>..............] - ETA: 1s - loss: 164.2588 - output_salary_loss: 0.5527 - output_age_loss: 163.7061 - output_salary_acc: 0.7530 - output_age_mean_squared_error: 163.7061
13600/24129 [===============>..............] - ETA: 1s - loss: 164.0701 - output_salary_loss: 0.5528 - output_age_loss: 163.5173 - output_salary_acc: 0.7530 - output_age_mean_squared_error: 163.5173
13728/24129 [================>.............] - ETA: 1s - loss: 164.0436 - output_salary_loss: 0.5530 - output_age_loss: 163.4905 - output_salary_acc: 0.7528 - output_age_mean_squared_error: 163.4905
13824/24129 [================>.............] - ETA: 1s - loss: 164.0649 - output_salary_loss: 0.5529 - output_age_loss: 163.5120 - output_salary_acc: 0.7529 - output_age_mean_squared_error: 163.5120
13920/24129 [================>.............] - ETA: 1s - loss: 164.1583 - output_salary_loss: 0.5527 - output_age_loss: 163.6056 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 163.6056
14048/24129 [================>.............] - ETA: 1s - loss: 164.2155 - output_salary_loss: 0.5531 - output_age_loss: 163.6624 - output_salary_acc: 0.7528 - output_age_mean_squared_error: 163.6624
14176/24129 [================>.............] - ETA: 1s - loss: 164.1299 - output_salary_loss: 0.5529 - output_age_loss: 163.5770 - output_salary_acc: 0.7529 - output_age_mean_squared_error: 163.5770
14304/24129 [================>.............] - ETA: 1s - loss: 163.9244 - output_salary_loss: 0.5538 - output_age_loss: 163.3706 - output_salary_acc: 0.7521 - output_age_mean_squared_error: 163.3706
14368/24129 [================>.............] - ETA: 1s - loss: 163.8716 - output_salary_loss: 0.5538 - output_age_loss: 163.3178 - output_salary_acc: 0.7522 - output_age_mean_squared_error: 163.3178
14464/24129 [================>.............] - ETA: 1s - loss: 163.7597 - output_salary_loss: 0.5535 - output_age_loss: 163.2062 - output_salary_acc: 0.7526 - output_age_mean_squared_error: 163.2062
14592/24129 [=================>............] - ETA: 1s - loss: 163.6560 - output_salary_loss: 0.5533 - output_age_loss: 163.1028 - output_salary_acc: 0.7526 - output_age_mean_squared_error: 163.1028
14656/24129 [=================>............] - ETA: 1s - loss: 163.5905 - output_salary_loss: 0.5532 - output_age_loss: 163.0373 - output_salary_acc: 0.7527 - output_age_mean_squared_error: 163.0373
14784/24129 [=================>............] - ETA: 1s - loss: 163.7186 - output_salary_loss: 0.5530 - output_age_loss: 163.1656 - output_salary_acc: 0.7530 - output_age_mean_squared_error: 163.1656
14944/24129 [=================>............] - ETA: 1s - loss: 163.4261 - output_salary_loss: 0.5530 - output_age_loss: 162.8730 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 162.8730
15264/24129 [=================>............] - ETA: 1s - loss: 163.7899 - output_salary_loss: 0.5530 - output_age_loss: 163.2370 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 163.2370
15520/24129 [==================>...........] - ETA: 1s - loss: 163.4681 - output_salary_loss: 0.5530 - output_age_loss: 162.9151 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 162.9151
15648/24129 [==================>...........] - ETA: 1s - loss: 163.4847 - output_salary_loss: 0.5524 - output_age_loss: 162.9322 - output_salary_acc: 0.7536 - output_age_mean_squared_error: 162.9322
15712/24129 [==================>...........] - ETA: 1s - loss: 163.7596 - output_salary_loss: 0.5527 - output_age_loss: 163.2069 - output_salary_acc: 0.7534 - output_age_mean_squared_error: 163.2069
15840/24129 [==================>...........] - ETA: 1s - loss: 163.7272 - output_salary_loss: 0.5524 - output_age_loss: 163.1748 - output_salary_acc: 0.7535 - output_age_mean_squared_error: 163.1748
15936/24129 [==================>...........] - ETA: 1s - loss: 163.7076 - output_salary_loss: 0.5524 - output_age_loss: 163.1552 - output_salary_acc: 0.7535 - output_age_mean_squared_error: 163.1552
16064/24129 [==================>...........] - ETA: 1s - loss: 163.5589 - output_salary_loss: 0.5523 - output_age_loss: 163.0066 - output_salary_acc: 0.7535 - output_age_mean_squared_error: 163.0066
16192/24129 [===================>..........] - ETA: 1s - loss: 163.5107 - output_salary_loss: 0.5528 - output_age_loss: 162.9580 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 162.9580
16320/24129 [===================>..........] - ETA: 1s - loss: 163.4518 - output_salary_loss: 0.5525 - output_age_loss: 162.8993 - output_salary_acc: 0.7534 - output_age_mean_squared_error: 162.8993
16416/24129 [===================>..........] - ETA: 1s - loss: 163.3898 - output_salary_loss: 0.5529 - output_age_loss: 162.8369 - output_salary_acc: 0.7529 - output_age_mean_squared_error: 162.8369
16512/24129 [===================>..........] - ETA: 1s - loss: 163.5962 - output_salary_loss: 0.5532 - output_age_loss: 163.0429 - output_salary_acc: 0.7527 - output_age_mean_squared_error: 163.0429
16576/24129 [===================>..........] - ETA: 1s - loss: 163.3843 - output_salary_loss: 0.5530 - output_age_loss: 162.8313 - output_salary_acc: 0.7530 - output_age_mean_squared_error: 162.8313
16672/24129 [===================>..........] - ETA: 1s - loss: 162.9638 - output_salary_loss: 0.5529 - output_age_loss: 162.4109 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 162.4109
16768/24129 [===================>..........] - ETA: 1s - loss: 162.9437 - output_salary_loss: 0.5529 - output_age_loss: 162.3908 - output_salary_acc: 0.7530 - output_age_mean_squared_error: 162.3908
16832/24129 [===================>..........] - ETA: 1s - loss: 162.7992 - output_salary_loss: 0.5526 - output_age_loss: 162.2466 - output_salary_acc: 0.7533 - output_age_mean_squared_error: 162.2466
16960/24129 [====================>.........] - ETA: 1s - loss: 162.6714 - output_salary_loss: 0.5522 - output_age_loss: 162.1192 - output_salary_acc: 0.7537 - output_age_mean_squared_error: 162.1192
17056/24129 [====================>.........] - ETA: 1s - loss: 162.9422 - output_salary_loss: 0.5522 - output_age_loss: 162.3901 - output_salary_acc: 0.7537 - output_age_mean_squared_error: 162.3901
17152/24129 [====================>.........] - ETA: 1s - loss: 162.9409 - output_salary_loss: 0.5522 - output_age_loss: 162.3887 - output_salary_acc: 0.7537 - output_age_mean_squared_error: 162.3887
17280/24129 [====================>.........] - ETA: 1s - loss: 162.9022 - output_salary_loss: 0.5520 - output_age_loss: 162.3502 - output_salary_acc: 0.7538 - output_age_mean_squared_error: 162.3502
17504/24129 [====================>.........] - ETA: 1s - loss: 163.0241 - output_salary_loss: 0.5521 - output_age_loss: 162.4720 - output_salary_acc: 0.7537 - output_age_mean_squared_error: 162.4720
17600/24129 [====================>.........] - ETA: 1s - loss: 163.3473 - output_salary_loss: 0.5522 - output_age_loss: 162.7951 - output_salary_acc: 0.7536 - output_age_mean_squared_error: 162.7951
17728/24129 [=====================>........] - ETA: 1s - loss: 163.3555 - output_salary_loss: 0.5521 - output_age_loss: 162.8034 - output_salary_acc: 0.7538 - output_age_mean_squared_error: 162.8034
17856/24129 [=====================>........] - ETA: 1s - loss: 163.6786 - output_salary_loss: 0.5520 - output_age_loss: 163.1267 - output_salary_acc: 0.7539 - output_age_mean_squared_error: 163.1267
17952/24129 [=====================>........] - ETA: 1s - loss: 163.9272 - output_salary_loss: 0.5522 - output_age_loss: 163.3751 - output_salary_acc: 0.7537 - output_age_mean_squared_error: 163.3751
18112/24129 [=====================>........] - ETA: 1s - loss: 163.7156 - output_salary_loss: 0.5522 - output_age_loss: 163.1634 - output_salary_acc: 0.7538 - output_age_mean_squared_error: 163.1634
18208/24129 [=====================>........] - ETA: 1s - loss: 163.8242 - output_salary_loss: 0.5519 - output_age_loss: 163.2723 - output_salary_acc: 0.7540 - output_age_mean_squared_error: 163.2723
18368/24129 [=====================>........] - ETA: 1s - loss: 164.2533 - output_salary_loss: 0.5518 - output_age_loss: 163.7015 - output_salary_acc: 0.7541 - output_age_mean_squared_error: 163.7015
18464/24129 [=====================>........] - ETA: 1s - loss: 164.1488 - output_salary_loss: 0.5517 - output_age_loss: 163.5970 - output_salary_acc: 0.7542 - output_age_mean_squared_error: 163.5970
18560/24129 [======================>.......] - ETA: 1s - loss: 164.1678 - output_salary_loss: 0.5515 - output_age_loss: 163.6163 - output_salary_acc: 0.7544 - output_age_mean_squared_error: 163.6163
18688/24129 [======================>.......] - ETA: 1s - loss: 163.9479 - output_salary_loss: 0.5514 - output_age_loss: 163.3965 - output_salary_acc: 0.7544 - output_age_mean_squared_error: 163.3965
18784/24129 [======================>.......] - ETA: 1s - loss: 163.9646 - output_salary_loss: 0.5512 - output_age_loss: 163.4134 - output_salary_acc: 0.7546 - output_age_mean_squared_error: 163.4134
18912/24129 [======================>.......] - ETA: 1s - loss: 163.9049 - output_salary_loss: 0.5510 - output_age_loss: 163.3539 - output_salary_acc: 0.7549 - output_age_mean_squared_error: 163.3539
19008/24129 [======================>.......] - ETA: 1s - loss: 163.7669 - output_salary_loss: 0.5506 - output_age_loss: 163.2163 - output_salary_acc: 0.7551 - output_age_mean_squared_error: 163.2163
19136/24129 [======================>.......] - ETA: 1s - loss: 163.5655 - output_salary_loss: 0.5510 - output_age_loss: 163.0146 - output_salary_acc: 0.7547 - output_age_mean_squared_error: 163.0146
19232/24129 [======================>.......] - ETA: 1s - loss: 163.3964 - output_salary_loss: 0.5512 - output_age_loss: 162.8452 - output_salary_acc: 0.7545 - output_age_mean_squared_error: 162.8452
19296/24129 [======================>.......] - ETA: 1s - loss: 163.6379 - output_salary_loss: 0.5514 - output_age_loss: 163.0866 - output_salary_acc: 0.7544 - output_age_mean_squared_error: 163.0866
19520/24129 [=======================>......] - ETA: 1s - loss: 163.7340 - output_salary_loss: 0.5513 - output_age_loss: 163.1827 - output_salary_acc: 0.7542 - output_age_mean_squared_error: 163.1827
19680/24129 [=======================>......] - ETA: 1s - loss: 163.6876 - output_salary_loss: 0.5512 - output_age_loss: 163.1363 - output_salary_acc: 0.7542 - output_age_mean_squared_error: 163.1363
19776/24129 [=======================>......] - ETA: 1s - loss: 163.9884 - output_salary_loss: 0.5513 - output_age_loss: 163.4371 - output_salary_acc: 0.7540 - output_age_mean_squared_error: 163.4371
19904/24129 [=======================>......] - ETA: 1s - loss: 163.6799 - output_salary_loss: 0.5518 - output_age_loss: 163.1280 - output_salary_acc: 0.7536 - output_age_mean_squared_error: 163.1280
20032/24129 [=======================>......] - ETA: 1s - loss: 163.5680 - output_salary_loss: 0.5523 - output_age_loss: 163.0157 - output_salary_acc: 0.7532 - output_age_mean_squared_error: 163.0157
20160/24129 [========================>.....] - ETA: 1s - loss: 163.7233 - output_salary_loss: 0.5526 - output_age_loss: 163.1707 - output_salary_acc: 0.7528 - output_age_mean_squared_error: 163.1707
20256/24129 [========================>.....] - ETA: 1s - loss: 163.6643 - output_salary_loss: 0.5526 - output_age_loss: 163.1117 - output_salary_acc: 0.7529 - output_age_mean_squared_error: 163.1117
20384/24129 [========================>.....] - ETA: 1s - loss: 163.7753 - output_salary_loss: 0.5529 - output_age_loss: 163.2224 - output_salary_acc: 0.7526 - output_age_mean_squared_error: 163.2224
20448/24129 [========================>.....] - ETA: 1s - loss: 163.6564 - output_salary_loss: 0.5530 - output_age_loss: 163.1034 - output_salary_acc: 0.7526 - output_age_mean_squared_error: 163.1034
20576/24129 [========================>.....] - ETA: 1s - loss: 163.5415 - output_salary_loss: 0.5530 - output_age_loss: 162.9885 - output_salary_acc: 0.7528 - output_age_mean_squared_error: 162.9885
20672/24129 [========================>.....] - ETA: 1s - loss: 163.5277 - output_salary_loss: 0.5530 - output_age_loss: 162.9747 - output_salary_acc: 0.7528 - output_age_mean_squared_error: 162.9747
20832/24129 [========================>.....] - ETA: 0s - loss: 163.9593 - output_salary_loss: 0.5527 - output_age_loss: 163.4066 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 163.4066
20896/24129 [========================>.....] - ETA: 0s - loss: 163.9436 - output_salary_loss: 0.5532 - output_age_loss: 163.3904 - output_salary_acc: 0.7528 - output_age_mean_squared_error: 163.3904
21024/24129 [=========================>....] - ETA: 0s - loss: 163.9730 - output_salary_loss: 0.5533 - output_age_loss: 163.4198 - output_salary_acc: 0.7528 - output_age_mean_squared_error: 163.4198
21120/24129 [=========================>....] - ETA: 0s - loss: 164.0758 - output_salary_loss: 0.5530 - output_age_loss: 163.5228 - output_salary_acc: 0.7530 - output_age_mean_squared_error: 163.5228
21216/24129 [=========================>....] - ETA: 0s - loss: 164.1085 - output_salary_loss: 0.5533 - output_age_loss: 163.5552 - output_salary_acc: 0.7526 - output_age_mean_squared_error: 163.5552
21344/24129 [=========================>....] - ETA: 0s - loss: 164.0328 - output_salary_loss: 0.5534 - output_age_loss: 163.4794 - output_salary_acc: 0.7526 - output_age_mean_squared_error: 163.4794
21472/24129 [=========================>....] - ETA: 0s - loss: 163.9081 - output_salary_loss: 0.5531 - output_age_loss: 163.3550 - output_salary_acc: 0.7527 - output_age_mean_squared_error: 163.3550
21792/24129 [==========================>...] - ETA: 0s - loss: 163.8043 - output_salary_loss: 0.5533 - output_age_loss: 163.2511 - output_salary_acc: 0.7526 - output_age_mean_squared_error: 163.2511
22016/24129 [==========================>...] - ETA: 0s - loss: 163.9898 - output_salary_loss: 0.5533 - output_age_loss: 163.4365 - output_salary_acc: 0.7527 - output_age_mean_squared_error: 163.4365
22112/24129 [==========================>...] - ETA: 0s - loss: 164.0458 - output_salary_loss: 0.5533 - output_age_loss: 163.4924 - output_salary_acc: 0.7526 - output_age_mean_squared_error: 163.4924
22208/24129 [==========================>...] - ETA: 0s - loss: 164.0818 - output_salary_loss: 0.5535 - output_age_loss: 163.5283 - output_salary_acc: 0.7523 - output_age_mean_squared_error: 163.5283
22304/24129 [==========================>...] - ETA: 0s - loss: 164.2994 - output_salary_loss: 0.5537 - output_age_loss: 163.7457 - output_salary_acc: 0.7520 - output_age_mean_squared_error: 163.7457
22432/24129 [==========================>...] - ETA: 0s - loss: 164.3467 - output_salary_loss: 0.5538 - output_age_loss: 163.7929 - output_salary_acc: 0.7520 - output_age_mean_squared_error: 163.7929
22560/24129 [===========================>..] - ETA: 0s - loss: 164.3352 - output_salary_loss: 0.5537 - output_age_loss: 163.7815 - output_salary_acc: 0.7521 - output_age_mean_squared_error: 163.7815
22688/24129 [===========================>..] - ETA: 0s - loss: 164.2994 - output_salary_loss: 0.5536 - output_age_loss: 163.7458 - output_salary_acc: 0.7521 - output_age_mean_squared_error: 163.7458
22784/24129 [===========================>..] - ETA: 0s - loss: 164.1019 - output_salary_loss: 0.5536 - output_age_loss: 163.5483 - output_salary_acc: 0.7522 - output_age_mean_squared_error: 163.5483
22880/24129 [===========================>..] - ETA: 0s - loss: 164.2039 - output_salary_loss: 0.5541 - output_age_loss: 163.6499 - output_salary_acc: 0.7517 - output_age_mean_squared_error: 163.6499
22976/24129 [===========================>..] - ETA: 0s - loss: 164.1659 - output_salary_loss: 0.5540 - output_age_loss: 163.6119 - output_salary_acc: 0.7517 - output_age_mean_squared_error: 163.6119
23072/24129 [===========================>..] - ETA: 0s - loss: 164.3348 - output_salary_loss: 0.5543 - output_age_loss: 163.7805 - output_salary_acc: 0.7515 - output_age_mean_squared_error: 163.7805
23200/24129 [===========================>..] - ETA: 0s - loss: 164.4287 - output_salary_loss: 0.5545 - output_age_loss: 163.8741 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 163.8741
23328/24129 [============================>.] - ETA: 0s - loss: 164.3943 - output_salary_loss: 0.5548 - output_age_loss: 163.8395 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 163.8395
23456/24129 [============================>.] - ETA: 0s - loss: 164.3253 - output_salary_loss: 0.5550 - output_age_loss: 163.7703 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 163.7703
23552/24129 [============================>.] - ETA: 0s - loss: 164.2947 - output_salary_loss: 0.5550 - output_age_loss: 163.7396 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 163.7396
23680/24129 [============================>.] - ETA: 0s - loss: 164.1790 - output_salary_loss: 0.5548 - output_age_loss: 163.6242 - output_salary_acc: 0.7509 - output_age_mean_squared_error: 163.6242
23776/24129 [============================>.] - ETA: 0s - loss: 164.1605 - output_salary_loss: 0.5548 - output_age_loss: 163.6057 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 163.6057
24128/24129 [============================>.] - ETA: 0s - loss: 163.8420 - output_salary_loss: 0.5551 - output_age_loss: 163.2868 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 163.2868
24129/24129 [==============================] - 8s 321us/step - loss: 163.8360 - output_salary_loss: 0.5551 - output_age_loss: 163.2809 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 163.2809 - val_loss: 102.8591 - val_output_salary_loss: 0.5522 - val_output_age_loss: 102.3069 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 102.3069
Epoch 8/20
32/24129 [..............................] - ETA: 3s - loss: 150.8815 - output_salary_loss: 0.5643 - output_age_loss: 150.3172 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 150.3172
512/24129 [..............................] - ETA: 2s - loss: 150.0118 - output_salary_loss: 0.5627 - output_age_loss: 149.4492 - output_salary_acc: 0.7422 - output_age_mean_squared_error: 149.4492
1152/24129 [>.............................] - ETA: 2s - loss: 156.9840 - output_salary_loss: 0.5461 - output_age_loss: 156.4379 - output_salary_acc: 0.7569 - output_age_mean_squared_error: 156.4379
1792/24129 [=>............................] - ETA: 1s - loss: 167.2179 - output_salary_loss: 0.5403 - output_age_loss: 166.6776 - output_salary_acc: 0.7612 - output_age_mean_squared_error: 166.6776
2432/24129 [==>...........................] - ETA: 1s - loss: 166.2172 - output_salary_loss: 0.5417 - output_age_loss: 165.6756 - output_salary_acc: 0.7619 - output_age_mean_squared_error: 165.6756
3072/24129 [==>...........................] - ETA: 1s - loss: 162.4451 - output_salary_loss: 0.5402 - output_age_loss: 161.9049 - output_salary_acc: 0.7620 - output_age_mean_squared_error: 161.9049
3648/24129 [===>..........................] - ETA: 1s - loss: 157.5747 - output_salary_loss: 0.5429 - output_age_loss: 157.0317 - output_salary_acc: 0.7599 - output_age_mean_squared_error: 157.0317
4288/24129 [====>.........................] - ETA: 1s - loss: 157.7111 - output_salary_loss: 0.5434 - output_age_loss: 157.1677 - output_salary_acc: 0.7591 - output_age_mean_squared_error: 157.1677
4928/24129 [=====>........................] - ETA: 1s - loss: 157.6293 - output_salary_loss: 0.5443 - output_age_loss: 157.0850 - output_salary_acc: 0.7587 - output_age_mean_squared_error: 157.0850
5568/24129 [=====>........................] - ETA: 1s - loss: 158.9961 - output_salary_loss: 0.5431 - output_age_loss: 158.4530 - output_salary_acc: 0.7593 - output_age_mean_squared_error: 158.4530
6176/24129 [======>.......................] - ETA: 1s - loss: 157.6056 - output_salary_loss: 0.5446 - output_age_loss: 157.0610 - output_salary_acc: 0.7573 - output_age_mean_squared_error: 157.0610
6784/24129 [=======>......................] - ETA: 1s - loss: 158.2994 - output_salary_loss: 0.5446 - output_age_loss: 157.7548 - output_salary_acc: 0.7569 - output_age_mean_squared_error: 157.7548
7488/24129 [========>.....................] - ETA: 1s - loss: 157.9800 - output_salary_loss: 0.5473 - output_age_loss: 157.4327 - output_salary_acc: 0.7545 - output_age_mean_squared_error: 157.4327
8128/24129 [=========>....................] - ETA: 1s - loss: 158.8214 - output_salary_loss: 0.5479 - output_age_loss: 158.2735 - output_salary_acc: 0.7543 - output_age_mean_squared_error: 158.2735
8608/24129 [=========>....................] - ETA: 1s - loss: 158.3057 - output_salary_loss: 0.5482 - output_age_loss: 157.7575 - output_salary_acc: 0.7544 - output_age_mean_squared_error: 157.7575
9120/24129 [==========>...................] - ETA: 1s - loss: 157.6351 - output_salary_loss: 0.5484 - output_age_loss: 157.0867 - output_salary_acc: 0.7543 - output_age_mean_squared_error: 157.0867
9792/24129 [===========>..................] - ETA: 1s - loss: 158.4517 - output_salary_loss: 0.5476 - output_age_loss: 157.9041 - output_salary_acc: 0.7548 - output_age_mean_squared_error: 157.9041
10432/24129 [===========>..................] - ETA: 1s - loss: 159.5129 - output_salary_loss: 0.5467 - output_age_loss: 158.9663 - output_salary_acc: 0.7558 - output_age_mean_squared_error: 158.9663
11104/24129 [============>.................] - ETA: 1s - loss: 159.0165 - output_salary_loss: 0.5477 - output_age_loss: 158.4688 - output_salary_acc: 0.7553 - output_age_mean_squared_error: 158.4688
11776/24129 [=============>................] - ETA: 1s - loss: 158.8198 - output_salary_loss: 0.5482 - output_age_loss: 158.2716 - output_salary_acc: 0.7550 - output_age_mean_squared_error: 158.2716
12448/24129 [==============>...............] - ETA: 0s - loss: 159.0584 - output_salary_loss: 0.5489 - output_age_loss: 158.5095 - output_salary_acc: 0.7547 - output_age_mean_squared_error: 158.5095
13056/24129 [===============>..............] - ETA: 0s - loss: 159.0408 - output_salary_loss: 0.5493 - output_age_loss: 158.4915 - output_salary_acc: 0.7542 - output_age_mean_squared_error: 158.4915
13664/24129 [===============>..............] - ETA: 0s - loss: 158.8417 - output_salary_loss: 0.5505 - output_age_loss: 158.2911 - output_salary_acc: 0.7529 - output_age_mean_squared_error: 158.2911
14272/24129 [================>.............] - ETA: 0s - loss: 159.2561 - output_salary_loss: 0.5506 - output_age_loss: 158.7055 - output_salary_acc: 0.7527 - output_age_mean_squared_error: 158.7055
14976/24129 [=================>............] - ETA: 0s - loss: 159.4093 - output_salary_loss: 0.5496 - output_age_loss: 158.8597 - output_salary_acc: 0.7537 - output_age_mean_squared_error: 158.8597
15680/24129 [==================>...........] - ETA: 0s - loss: 159.2379 - output_salary_loss: 0.5493 - output_age_loss: 158.6886 - output_salary_acc: 0.7539 - output_age_mean_squared_error: 158.6886
16192/24129 [===================>..........] - ETA: 0s - loss: 159.3522 - output_salary_loss: 0.5510 - output_age_loss: 158.8012 - output_salary_acc: 0.7521 - output_age_mean_squared_error: 158.8012
16704/24129 [===================>..........] - ETA: 0s - loss: 158.7138 - output_salary_loss: 0.5508 - output_age_loss: 158.1630 - output_salary_acc: 0.7522 - output_age_mean_squared_error: 158.1630
17280/24129 [====================>.........] - ETA: 0s - loss: 158.5076 - output_salary_loss: 0.5497 - output_age_loss: 157.9578 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 157.9578
17504/24129 [====================>.........] - ETA: 0s - loss: 158.6806 - output_salary_loss: 0.5492 - output_age_loss: 158.1314 - output_salary_acc: 0.7534 - output_age_mean_squared_error: 158.1314
17632/24129 [====================>.........] - ETA: 0s - loss: 158.9784 - output_salary_loss: 0.5495 - output_age_loss: 158.4289 - output_salary_acc: 0.7531 - output_age_mean_squared_error: 158.4289
17728/24129 [=====================>........] - ETA: 0s - loss: 159.2329 - output_salary_loss: 0.5499 - output_age_loss: 158.6830 - output_salary_acc: 0.7526 - output_age_mean_squared_error: 158.6830
17824/24129 [=====================>........] - ETA: 0s - loss: 159.0642 - output_salary_loss: 0.5501 - output_age_loss: 158.5141 - output_salary_acc: 0.7524 - output_age_mean_squared_error: 158.5141
17920/24129 [=====================>........] - ETA: 0s - loss: 159.0509 - output_salary_loss: 0.5502 - output_age_loss: 158.5007 - output_salary_acc: 0.7523 - output_age_mean_squared_error: 158.5007
18048/24129 [=====================>........] - ETA: 0s - loss: 158.9310 - output_salary_loss: 0.5504 - output_age_loss: 158.3806 - output_salary_acc: 0.7519 - output_age_mean_squared_error: 158.3806
18176/24129 [=====================>........] - ETA: 0s - loss: 159.0662 - output_salary_loss: 0.5501 - output_age_loss: 158.5161 - output_salary_acc: 0.7521 - output_age_mean_squared_error: 158.5161
18240/24129 [=====================>........] - ETA: 0s - loss: 159.0329 - output_salary_loss: 0.5503 - output_age_loss: 158.4826 - output_salary_acc: 0.7519 - output_age_mean_squared_error: 158.4826
18368/24129 [=====================>........] - ETA: 0s - loss: 159.3498 - output_salary_loss: 0.5503 - output_age_loss: 158.7995 - output_salary_acc: 0.7521 - output_age_mean_squared_error: 158.7995
18464/24129 [=====================>........] - ETA: 0s - loss: 159.4262 - output_salary_loss: 0.5501 - output_age_loss: 158.8761 - output_salary_acc: 0.7523 - output_age_mean_squared_error: 158.8761
18560/24129 [======================>.......] - ETA: 0s - loss: 159.3221 - output_salary_loss: 0.5496 - output_age_loss: 158.7725 - output_salary_acc: 0.7526 - output_age_mean_squared_error: 158.7725
18656/24129 [======================>.......] - ETA: 0s - loss: 159.3615 - output_salary_loss: 0.5501 - output_age_loss: 158.8114 - output_salary_acc: 0.7523 - output_age_mean_squared_error: 158.8114
18752/24129 [======================>.......] - ETA: 0s - loss: 159.3229 - output_salary_loss: 0.5504 - output_age_loss: 158.7725 - output_salary_acc: 0.7522 - output_age_mean_squared_error: 158.7725
18848/24129 [======================>.......] - ETA: 0s - loss: 159.2679 - output_salary_loss: 0.5506 - output_age_loss: 158.7173 - output_salary_acc: 0.7520 - output_age_mean_squared_error: 158.7173
19008/24129 [======================>.......] - ETA: 0s - loss: 159.3933 - output_salary_loss: 0.5505 - output_age_loss: 158.8429 - output_salary_acc: 0.7522 - output_age_mean_squared_error: 158.8429
19104/24129 [======================>.......] - ETA: 0s - loss: 159.2372 - output_salary_loss: 0.5506 - output_age_loss: 158.6866 - output_salary_acc: 0.7520 - output_age_mean_squared_error: 158.6866
19232/24129 [======================>.......] - ETA: 0s - loss: 159.2908 - output_salary_loss: 0.5504 - output_age_loss: 158.7405 - output_salary_acc: 0.7523 - output_age_mean_squared_error: 158.7405
19520/24129 [=======================>......] - ETA: 0s - loss: 159.0600 - output_salary_loss: 0.5506 - output_age_loss: 158.5095 - output_salary_acc: 0.7520 - output_age_mean_squared_error: 158.5095
19936/24129 [=======================>......] - ETA: 0s - loss: 158.6351 - output_salary_loss: 0.5505 - output_age_loss: 158.0846 - output_salary_acc: 0.7521 - output_age_mean_squared_error: 158.0846
20320/24129 [========================>.....] - ETA: 0s - loss: 159.1915 - output_salary_loss: 0.5504 - output_age_loss: 158.6411 - output_salary_acc: 0.7520 - output_age_mean_squared_error: 158.6411
20640/24129 [========================>.....] - ETA: 0s - loss: 159.2923 - output_salary_loss: 0.5506 - output_age_loss: 158.7416 - output_salary_acc: 0.7516 - output_age_mean_squared_error: 158.7416
20992/24129 [=========================>....] - ETA: 0s - loss: 158.9999 - output_salary_loss: 0.5508 - output_age_loss: 158.4491 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 158.4491
21376/24129 [=========================>....] - ETA: 0s - loss: 159.0422 - output_salary_loss: 0.5512 - output_age_loss: 158.4910 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 158.4910
21664/24129 [=========================>....] - ETA: 0s - loss: 159.3149 - output_salary_loss: 0.5510 - output_age_loss: 158.7639 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 158.7639
22048/24129 [==========================>...] - ETA: 0s - loss: 159.1765 - output_salary_loss: 0.5506 - output_age_loss: 158.6259 - output_salary_acc: 0.7518 - output_age_mean_squared_error: 158.6259
22464/24129 [==========================>...] - ETA: 0s - loss: 160.1245 - output_salary_loss: 0.5510 - output_age_loss: 159.5735 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 159.5735
22816/24129 [===========================>..] - ETA: 0s - loss: 160.3109 - output_salary_loss: 0.5512 - output_age_loss: 159.7598 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 159.7598
23168/24129 [===========================>..] - ETA: 0s - loss: 160.5203 - output_salary_loss: 0.5513 - output_age_loss: 159.9691 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 159.9691
23296/24129 [===========================>..] - ETA: 0s - loss: 160.5246 - output_salary_loss: 0.5513 - output_age_loss: 159.9733 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 159.9733
23456/24129 [============================>.] - ETA: 0s - loss: 160.7652 - output_salary_loss: 0.5512 - output_age_loss: 160.2139 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 160.2139
23552/24129 [============================>.] - ETA: 0s - loss: 160.7577 - output_salary_loss: 0.5511 - output_age_loss: 160.2065 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 160.2065
23680/24129 [============================>.] - ETA: 0s - loss: 160.7467 - output_salary_loss: 0.5510 - output_age_loss: 160.1957 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 160.1957
23808/24129 [============================>.] - ETA: 0s - loss: 160.7839 - output_salary_loss: 0.5507 - output_age_loss: 160.2332 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 160.2332
23904/24129 [============================>.] - ETA: 0s - loss: 160.7245 - output_salary_loss: 0.5507 - output_age_loss: 160.1739 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 160.1739
24064/24129 [============================>.] - ETA: 0s - loss: 160.7411 - output_salary_loss: 0.5511 - output_age_loss: 160.1900 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 160.1900
24129/24129 [==============================] - 4s 173us/step - loss: 160.7593 - output_salary_loss: 0.5510 - output_age_loss: 160.2083 - output_salary_acc: 0.7511 - output_age_mean_squared_error: 160.2083 - val_loss: 102.0948 - val_output_salary_loss: 0.5482 - val_output_age_loss: 101.5466 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 101.5466
Epoch 9/20
32/24129 [..............................] - ETA: 2s - loss: 207.7694 - output_salary_loss: 0.6008 - output_age_loss: 207.1686 - output_salary_acc: 0.6250 - output_age_mean_squared_error: 207.1686
576/24129 [..............................] - ETA: 2s - loss: 158.3910 - output_salary_loss: 0.5488 - output_age_loss: 157.8422 - output_salary_acc: 0.7483 - output_age_mean_squared_error: 157.8422
1088/24129 [>.............................] - ETA: 2s - loss: 163.3543 - output_salary_loss: 0.5641 - output_age_loss: 162.7902 - output_salary_acc: 0.7344 - output_age_mean_squared_error: 162.7902
1696/24129 [=>............................] - ETA: 2s - loss: 163.1067 - output_salary_loss: 0.5702 - output_age_loss: 162.5365 - output_salary_acc: 0.7323 - output_age_mean_squared_error: 162.5365
2272/24129 [=>............................] - ETA: 1s - loss: 158.9602 - output_salary_loss: 0.5628 - output_age_loss: 158.3975 - output_salary_acc: 0.7408 - output_age_mean_squared_error: 158.3975
2816/24129 [==>...........................] - ETA: 1s - loss: 160.9656 - output_salary_loss: 0.5572 - output_age_loss: 160.4084 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 160.4084
3328/24129 [===>..........................] - ETA: 1s - loss: 159.3683 - output_salary_loss: 0.5559 - output_age_loss: 158.8124 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 158.8124
3872/24129 [===>..........................] - ETA: 1s - loss: 156.7267 - output_salary_loss: 0.5549 - output_age_loss: 156.1718 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 156.1718
4384/24129 [====>.........................] - ETA: 1s - loss: 156.8309 - output_salary_loss: 0.5557 - output_age_loss: 156.2752 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 156.2752
4896/24129 [=====>........................] - ETA: 1s - loss: 157.7138 - output_salary_loss: 0.5578 - output_age_loss: 157.1560 - output_salary_acc: 0.7404 - output_age_mean_squared_error: 157.1560
5408/24129 [=====>........................] - ETA: 1s - loss: 159.6004 - output_salary_loss: 0.5584 - output_age_loss: 159.0420 - output_salary_acc: 0.7408 - output_age_mean_squared_error: 159.0420
5888/24129 [======>.......................] - ETA: 1s - loss: 160.3811 - output_salary_loss: 0.5560 - output_age_loss: 159.8251 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 159.8251
6432/24129 [======>.......................] - ETA: 1s - loss: 161.0703 - output_salary_loss: 0.5545 - output_age_loss: 160.5158 - output_salary_acc: 0.7435 - output_age_mean_squared_error: 160.5158
6944/24129 [=======>......................] - ETA: 1s - loss: 159.6771 - output_salary_loss: 0.5546 - output_age_loss: 159.1225 - output_salary_acc: 0.7435 - output_age_mean_squared_error: 159.1225
7488/24129 [========>.....................] - ETA: 1s - loss: 159.6419 - output_salary_loss: 0.5542 - output_age_loss: 159.0877 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 159.0877
7872/24129 [========>.....................] - ETA: 1s - loss: 158.7483 - output_salary_loss: 0.5538 - output_age_loss: 158.1945 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 158.1945
8288/24129 [=========>....................] - ETA: 1s - loss: 159.3113 - output_salary_loss: 0.5556 - output_age_loss: 158.7557 - output_salary_acc: 0.7432 - output_age_mean_squared_error: 158.7557
8704/24129 [=========>....................] - ETA: 1s - loss: 159.8035 - output_salary_loss: 0.5557 - output_age_loss: 159.2477 - output_salary_acc: 0.7428 - output_age_mean_squared_error: 159.2477
8992/24129 [==========>...................] - ETA: 1s - loss: 160.3087 - output_salary_loss: 0.5551 - output_age_loss: 159.7537 - output_salary_acc: 0.7437 - output_age_mean_squared_error: 159.7537
9376/24129 [==========>...................] - ETA: 1s - loss: 160.1661 - output_salary_loss: 0.5540 - output_age_loss: 159.6121 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 159.6121
9760/24129 [===========>..................] - ETA: 1s - loss: 160.6466 - output_salary_loss: 0.5523 - output_age_loss: 160.0943 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 160.0943
10208/24129 [===========>..................] - ETA: 1s - loss: 160.5033 - output_salary_loss: 0.5509 - output_age_loss: 159.9524 - output_salary_acc: 0.7476 - output_age_mean_squared_error: 159.9524
10656/24129 [============>.................] - ETA: 1s - loss: 160.7938 - output_salary_loss: 0.5505 - output_age_loss: 160.2432 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 160.2432
11136/24129 [============>.................] - ETA: 1s - loss: 161.0844 - output_salary_loss: 0.5511 - output_age_loss: 160.5333 - output_salary_acc: 0.7479 - output_age_mean_squared_error: 160.5333
11616/24129 [=============>................] - ETA: 1s - loss: 160.6468 - output_salary_loss: 0.5509 - output_age_loss: 160.0959 - output_salary_acc: 0.7481 - output_age_mean_squared_error: 160.0959
12064/24129 [=============>................] - ETA: 1s - loss: 160.1380 - output_salary_loss: 0.5500 - output_age_loss: 159.5880 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 159.5880
12576/24129 [==============>...............] - ETA: 1s - loss: 159.9577 - output_salary_loss: 0.5510 - output_age_loss: 159.4067 - output_salary_acc: 0.7482 - output_age_mean_squared_error: 159.4067
13056/24129 [===============>..............] - ETA: 1s - loss: 159.8128 - output_salary_loss: 0.5511 - output_age_loss: 159.2618 - output_salary_acc: 0.7478 - output_age_mean_squared_error: 159.2618
13568/24129 [===============>..............] - ETA: 1s - loss: 159.5230 - output_salary_loss: 0.5516 - output_age_loss: 158.9714 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 158.9714
14112/24129 [================>.............] - ETA: 1s - loss: 158.7653 - output_salary_loss: 0.5510 - output_age_loss: 158.2143 - output_salary_acc: 0.7484 - output_age_mean_squared_error: 158.2143
14656/24129 [=================>............] - ETA: 1s - loss: 158.6764 - output_salary_loss: 0.5496 - output_age_loss: 158.1268 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 158.1268
15232/24129 [=================>............] - ETA: 0s - loss: 158.4042 - output_salary_loss: 0.5505 - output_age_loss: 157.8538 - output_salary_acc: 0.7488 - output_age_mean_squared_error: 157.8538
15744/24129 [==================>...........] - ETA: 0s - loss: 158.0338 - output_salary_loss: 0.5499 - output_age_loss: 157.4839 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 157.4839
16160/24129 [===================>..........] - ETA: 0s - loss: 157.8979 - output_salary_loss: 0.5495 - output_age_loss: 157.3484 - output_salary_acc: 0.7494 - output_age_mean_squared_error: 157.3484
16672/24129 [===================>..........] - ETA: 0s - loss: 157.5199 - output_salary_loss: 0.5493 - output_age_loss: 156.9707 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 156.9707
17152/24129 [====================>.........] - ETA: 0s - loss: 157.1059 - output_salary_loss: 0.5486 - output_age_loss: 156.5573 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 156.5573
17600/24129 [====================>.........] - ETA: 0s - loss: 156.8546 - output_salary_loss: 0.5486 - output_age_loss: 156.3060 - output_salary_acc: 0.7497 - output_age_mean_squared_error: 156.3060
18016/24129 [=====================>........] - ETA: 0s - loss: 156.9880 - output_salary_loss: 0.5490 - output_age_loss: 156.4390 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 156.4390
18464/24129 [=====================>........] - ETA: 0s - loss: 157.2361 - output_salary_loss: 0.5483 - output_age_loss: 156.6878 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 156.6878
18944/24129 [======================>.......] - ETA: 0s - loss: 156.9215 - output_salary_loss: 0.5481 - output_age_loss: 156.3734 - output_salary_acc: 0.7501 - output_age_mean_squared_error: 156.3734
19392/24129 [=======================>......] - ETA: 0s - loss: 156.9900 - output_salary_loss: 0.5483 - output_age_loss: 156.4416 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 156.4416
19840/24129 [=======================>......] - ETA: 0s - loss: 156.9617 - output_salary_loss: 0.5488 - output_age_loss: 156.4130 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 156.4130
20352/24129 [========================>.....] - ETA: 0s - loss: 156.4782 - output_salary_loss: 0.5483 - output_age_loss: 155.9299 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 155.9299
20928/24129 [=========================>....] - ETA: 0s - loss: 156.7576 - output_salary_loss: 0.5480 - output_age_loss: 156.2095 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 156.2095
21344/24129 [=========================>....] - ETA: 0s - loss: 157.0236 - output_salary_loss: 0.5486 - output_age_loss: 156.4751 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 156.4751
21792/24129 [==========================>...] - ETA: 0s - loss: 156.6855 - output_salary_loss: 0.5485 - output_age_loss: 156.1371 - output_salary_acc: 0.7501 - output_age_mean_squared_error: 156.1371
22208/24129 [==========================>...] - ETA: 0s - loss: 156.9659 - output_salary_loss: 0.5482 - output_age_loss: 156.4177 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 156.4177
22656/24129 [===========================>..] - ETA: 0s - loss: 156.8205 - output_salary_loss: 0.5479 - output_age_loss: 156.2725 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 156.2725
22976/24129 [===========================>..] - ETA: 0s - loss: 157.0879 - output_salary_loss: 0.5475 - output_age_loss: 156.5404 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 156.5404
23136/24129 [===========================>..] - ETA: 0s - loss: 157.2401 - output_salary_loss: 0.5474 - output_age_loss: 156.6927 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 156.6927
23232/24129 [===========================>..] - ETA: 0s - loss: 157.2293 - output_salary_loss: 0.5475 - output_age_loss: 156.6818 - output_salary_acc: 0.7512 - output_age_mean_squared_error: 156.6818
23392/24129 [============================>.] - ETA: 0s - loss: 157.1604 - output_salary_loss: 0.5476 - output_age_loss: 156.6128 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 156.6128
23488/24129 [============================>.] - ETA: 0s - loss: 157.2794 - output_salary_loss: 0.5479 - output_age_loss: 156.7315 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 156.7315
23584/24129 [============================>.] - ETA: 0s - loss: 157.1303 - output_salary_loss: 0.5479 - output_age_loss: 156.5824 - output_salary_acc: 0.7505 - output_age_mean_squared_error: 156.5824
23680/24129 [============================>.] - ETA: 0s - loss: 157.1681 - output_salary_loss: 0.5481 - output_age_loss: 156.6200 - output_salary_acc: 0.7503 - output_age_mean_squared_error: 156.6200
23744/24129 [============================>.] - ETA: 0s - loss: 157.1154 - output_salary_loss: 0.5483 - output_age_loss: 156.5671 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 156.5671
23904/24129 [============================>.] - ETA: 0s - loss: 156.9290 - output_salary_loss: 0.5485 - output_age_loss: 156.3804 - output_salary_acc: 0.7496 - output_age_mean_squared_error: 156.3804
24064/24129 [============================>.] - ETA: 0s - loss: 156.8519 - output_salary_loss: 0.5487 - output_age_loss: 156.3033 - output_salary_acc: 0.7494 - output_age_mean_squared_error: 156.3033
24129/24129 [==============================] - 4s 151us/step - loss: 156.8195 - output_salary_loss: 0.5487 - output_age_loss: 156.2708 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 156.2708 - val_loss: 101.3282 - val_output_salary_loss: 0.5460 - val_output_age_loss: 100.7822 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 100.7822
Epoch 10/20
32/24129 [..............................] - ETA: 6s - loss: 206.6889 - output_salary_loss: 0.6584 - output_age_loss: 206.0305 - output_salary_acc: 0.6562 - output_age_mean_squared_error: 206.0305
640/24129 [..............................] - ETA: 2s - loss: 163.3018 - output_salary_loss: 0.5837 - output_age_loss: 162.7180 - output_salary_acc: 0.7281 - output_age_mean_squared_error: 162.7180
1280/24129 [>.............................] - ETA: 1s - loss: 160.5080 - output_salary_loss: 0.5589 - output_age_loss: 159.9491 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 159.9491
1920/24129 [=>............................] - ETA: 1s - loss: 157.3666 - output_salary_loss: 0.5562 - output_age_loss: 156.8104 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 156.8104
2560/24129 [==>...........................] - ETA: 1s - loss: 156.1001 - output_salary_loss: 0.5531 - output_age_loss: 155.5470 - output_salary_acc: 0.7504 - output_age_mean_squared_error: 155.5470
3200/24129 [==>...........................] - ETA: 1s - loss: 157.3196 - output_salary_loss: 0.5567 - output_age_loss: 156.7629 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 156.7629
3744/24129 [===>..........................] - ETA: 1s - loss: 157.5828 - output_salary_loss: 0.5540 - output_age_loss: 157.0288 - output_salary_acc: 0.7489 - output_age_mean_squared_error: 157.0288
4288/24129 [====>.........................] - ETA: 1s - loss: 158.2292 - output_salary_loss: 0.5591 - output_age_loss: 157.6701 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 157.6701
4800/24129 [====>.........................] - ETA: 1s - loss: 158.8978 - output_salary_loss: 0.5583 - output_age_loss: 158.3395 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 158.3395
5280/24129 [=====>........................] - ETA: 1s - loss: 157.8226 - output_salary_loss: 0.5566 - output_age_loss: 157.2661 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 157.2661
5760/24129 [======>.......................] - ETA: 1s - loss: 156.2997 - output_salary_loss: 0.5537 - output_age_loss: 155.7460 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 155.7460
6272/24129 [======>.......................] - ETA: 1s - loss: 157.8087 - output_salary_loss: 0.5516 - output_age_loss: 157.2571 - output_salary_acc: 0.7479 - output_age_mean_squared_error: 157.2571
6752/24129 [=======>......................] - ETA: 1s - loss: 158.2169 - output_salary_loss: 0.5497 - output_age_loss: 157.6673 - output_salary_acc: 0.7488 - output_age_mean_squared_error: 157.6673
7072/24129 [=======>......................] - ETA: 1s - loss: 158.1402 - output_salary_loss: 0.5493 - output_age_loss: 157.5909 - output_salary_acc: 0.7489 - output_age_mean_squared_error: 157.5909
7392/24129 [========>.....................] - ETA: 1s - loss: 157.8874 - output_salary_loss: 0.5490 - output_age_loss: 157.3385 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 157.3385
7584/24129 [========>.....................] - ETA: 1s - loss: 157.5127 - output_salary_loss: 0.5496 - output_age_loss: 156.9631 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 156.9631
7712/24129 [========>.....................] - ETA: 1s - loss: 157.3415 - output_salary_loss: 0.5503 - output_age_loss: 156.7913 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 156.7913
7744/24129 [========>.....................] - ETA: 1s - loss: 157.3491 - output_salary_loss: 0.5508 - output_age_loss: 156.7984 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 156.7984
7904/24129 [========>.....................] - ETA: 2s - loss: 156.2589 - output_salary_loss: 0.5497 - output_age_loss: 155.7091 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 155.7091
8032/24129 [========>.....................] - ETA: 2s - loss: 156.8525 - output_salary_loss: 0.5484 - output_age_loss: 156.3042 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 156.3042
8096/24129 [=========>....................] - ETA: 2s - loss: 156.7073 - output_salary_loss: 0.5476 - output_age_loss: 156.1597 - output_salary_acc: 0.7499 - output_age_mean_squared_error: 156.1597
8224/24129 [=========>....................] - ETA: 2s - loss: 156.7149 - output_salary_loss: 0.5484 - output_age_loss: 156.1665 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 156.1665
8352/24129 [=========>....................] - ETA: 2s - loss: 156.8716 - output_salary_loss: 0.5490 - output_age_loss: 156.3226 - output_salary_acc: 0.7488 - output_age_mean_squared_error: 156.3226
8480/24129 [=========>....................] - ETA: 2s - loss: 157.1914 - output_salary_loss: 0.5482 - output_age_loss: 156.6432 - output_salary_acc: 0.7498 - output_age_mean_squared_error: 156.6432
8608/24129 [=========>....................] - ETA: 2s - loss: 156.8677 - output_salary_loss: 0.5492 - output_age_loss: 156.3185 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 156.3185
8704/24129 [=========>....................] - ETA: 2s - loss: 156.4790 - output_salary_loss: 0.5494 - output_age_loss: 155.9296 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 155.9296
8864/24129 [==========>...................] - ETA: 2s - loss: 156.4327 - output_salary_loss: 0.5497 - output_age_loss: 155.8831 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 155.8831
8992/24129 [==========>...................] - ETA: 2s - loss: 156.3655 - output_salary_loss: 0.5494 - output_age_loss: 155.8160 - output_salary_acc: 0.7487 - output_age_mean_squared_error: 155.8160
9056/24129 [==========>...................] - ETA: 2s - loss: 156.1870 - output_salary_loss: 0.5494 - output_age_loss: 155.6376 - output_salary_acc: 0.7489 - output_age_mean_squared_error: 155.6376
9152/24129 [==========>...................] - ETA: 2s - loss: 156.3952 - output_salary_loss: 0.5496 - output_age_loss: 155.8456 - output_salary_acc: 0.7487 - output_age_mean_squared_error: 155.8456
9248/24129 [==========>...................] - ETA: 2s - loss: 155.9517 - output_salary_loss: 0.5487 - output_age_loss: 155.4030 - output_salary_acc: 0.7496 - output_age_mean_squared_error: 155.4030
9344/24129 [==========>...................] - ETA: 2s - loss: 156.0275 - output_salary_loss: 0.5498 - output_age_loss: 155.4777 - output_salary_acc: 0.7487 - output_age_mean_squared_error: 155.4777
9600/24129 [==========>...................] - ETA: 2s - loss: 156.3661 - output_salary_loss: 0.5499 - output_age_loss: 155.8162 - output_salary_acc: 0.7494 - output_age_mean_squared_error: 155.8162
10016/24129 [===========>..................] - ETA: 2s - loss: 156.3335 - output_salary_loss: 0.5500 - output_age_loss: 155.7835 - output_salary_acc: 0.7488 - output_age_mean_squared_error: 155.7835
10304/24129 [===========>..................] - ETA: 2s - loss: 155.9658 - output_salary_loss: 0.5502 - output_age_loss: 155.4156 - output_salary_acc: 0.7481 - output_age_mean_squared_error: 155.4156
10400/24129 [===========>..................] - ETA: 2s - loss: 155.7653 - output_salary_loss: 0.5504 - output_age_loss: 155.2149 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 155.2149
10528/24129 [============>.................] - ETA: 2s - loss: 155.9223 - output_salary_loss: 0.5514 - output_age_loss: 155.3709 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 155.3709
10624/24129 [============>.................] - ETA: 2s - loss: 155.7582 - output_salary_loss: 0.5518 - output_age_loss: 155.2064 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 155.2064
10688/24129 [============>.................] - ETA: 2s - loss: 155.8187 - output_salary_loss: 0.5514 - output_age_loss: 155.2672 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 155.2672
10784/24129 [============>.................] - ETA: 2s - loss: 156.0800 - output_salary_loss: 0.5516 - output_age_loss: 155.5284 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 155.5284
10880/24129 [============>.................] - ETA: 2s - loss: 155.8466 - output_salary_loss: 0.5518 - output_age_loss: 155.2948 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 155.2948
10976/24129 [============>.................] - ETA: 2s - loss: 156.1243 - output_salary_loss: 0.5515 - output_age_loss: 155.5728 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 155.5728
11136/24129 [============>.................] - ETA: 2s - loss: 156.0370 - output_salary_loss: 0.5518 - output_age_loss: 155.4853 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 155.4853
11232/24129 [============>.................] - ETA: 2s - loss: 156.4233 - output_salary_loss: 0.5522 - output_age_loss: 155.8712 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 155.8712
11360/24129 [=============>................] - ETA: 2s - loss: 156.1556 - output_salary_loss: 0.5512 - output_age_loss: 155.6044 - output_salary_acc: 0.7473 - output_age_mean_squared_error: 155.6044
11488/24129 [=============>................] - ETA: 2s - loss: 155.8011 - output_salary_loss: 0.5509 - output_age_loss: 155.2502 - output_salary_acc: 0.7475 - output_age_mean_squared_error: 155.2502
11616/24129 [=============>................] - ETA: 2s - loss: 156.2531 - output_salary_loss: 0.5513 - output_age_loss: 155.7017 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 155.7017
11680/24129 [=============>................] - ETA: 2s - loss: 156.6511 - output_salary_loss: 0.5516 - output_age_loss: 156.0995 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 156.0995
11808/24129 [=============>................] - ETA: 2s - loss: 156.5427 - output_salary_loss: 0.5518 - output_age_loss: 155.9909 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 155.9909
11936/24129 [=============>................] - ETA: 2s - loss: 156.1728 - output_salary_loss: 0.5514 - output_age_loss: 155.6214 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 155.6214
12096/24129 [==============>...............] - ETA: 2s - loss: 155.9718 - output_salary_loss: 0.5515 - output_age_loss: 155.4204 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 155.4204
12448/24129 [==============>...............] - ETA: 2s - loss: 155.9894 - output_salary_loss: 0.5519 - output_age_loss: 155.4375 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 155.4375
12800/24129 [==============>...............] - ETA: 2s - loss: 155.7053 - output_salary_loss: 0.5516 - output_age_loss: 155.1538 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 155.1538
13216/24129 [===============>..............] - ETA: 2s - loss: 154.9206 - output_salary_loss: 0.5508 - output_age_loss: 154.3697 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 154.3697
13664/24129 [===============>..............] - ETA: 2s - loss: 154.4192 - output_salary_loss: 0.5517 - output_age_loss: 153.8675 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 153.8675
14016/24129 [================>.............] - ETA: 2s - loss: 154.4253 - output_salary_loss: 0.5521 - output_age_loss: 153.8733 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 153.8733
14464/24129 [================>.............] - ETA: 2s - loss: 153.9034 - output_salary_loss: 0.5511 - output_age_loss: 153.3523 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 153.3523
14880/24129 [=================>............] - ETA: 2s - loss: 154.1054 - output_salary_loss: 0.5508 - output_age_loss: 153.5546 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 153.5546
15296/24129 [==================>...........] - ETA: 1s - loss: 154.4329 - output_salary_loss: 0.5495 - output_age_loss: 153.8834 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 153.8834
15552/24129 [==================>...........] - ETA: 1s - loss: 154.5756 - output_salary_loss: 0.5490 - output_age_loss: 154.0266 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 154.0266
15712/24129 [==================>...........] - ETA: 1s - loss: 154.6807 - output_salary_loss: 0.5488 - output_age_loss: 154.1319 - output_salary_acc: 0.7489 - output_age_mean_squared_error: 154.1319
15808/24129 [==================>...........] - ETA: 1s - loss: 154.6077 - output_salary_loss: 0.5490 - output_age_loss: 154.0587 - output_salary_acc: 0.7487 - output_age_mean_squared_error: 154.0587
15904/24129 [==================>...........] - ETA: 1s - loss: 154.7877 - output_salary_loss: 0.5489 - output_age_loss: 154.2388 - output_salary_acc: 0.7488 - output_age_mean_squared_error: 154.2388
16000/24129 [==================>...........] - ETA: 1s - loss: 154.9069 - output_salary_loss: 0.5488 - output_age_loss: 154.3582 - output_salary_acc: 0.7491 - output_age_mean_squared_error: 154.3582
16128/24129 [===================>..........] - ETA: 1s - loss: 154.7620 - output_salary_loss: 0.5492 - output_age_loss: 154.2128 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 154.2128
16288/24129 [===================>..........] - ETA: 1s - loss: 154.3457 - output_salary_loss: 0.5493 - output_age_loss: 153.7964 - output_salary_acc: 0.7484 - output_age_mean_squared_error: 153.7964
16320/24129 [===================>..........] - ETA: 1s - loss: 154.3135 - output_salary_loss: 0.5491 - output_age_loss: 153.7644 - output_salary_acc: 0.7485 - output_age_mean_squared_error: 153.7644
16448/24129 [===================>..........] - ETA: 1s - loss: 154.1908 - output_salary_loss: 0.5491 - output_age_loss: 153.6418 - output_salary_acc: 0.7485 - output_age_mean_squared_error: 153.6418
16608/24129 [===================>..........] - ETA: 1s - loss: 154.0774 - output_salary_loss: 0.5491 - output_age_loss: 153.5283 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 153.5283
16672/24129 [===================>..........] - ETA: 1s - loss: 154.0023 - output_salary_loss: 0.5491 - output_age_loss: 153.4533 - output_salary_acc: 0.7485 - output_age_mean_squared_error: 153.4533
16832/24129 [===================>..........] - ETA: 1s - loss: 154.3451 - output_salary_loss: 0.5497 - output_age_loss: 153.7954 - output_salary_acc: 0.7484 - output_age_mean_squared_error: 153.7954
16960/24129 [====================>.........] - ETA: 1s - loss: 154.3595 - output_salary_loss: 0.5496 - output_age_loss: 153.8099 - output_salary_acc: 0.7484 - output_age_mean_squared_error: 153.8099
17056/24129 [====================>.........] - ETA: 1s - loss: 154.3317 - output_salary_loss: 0.5496 - output_age_loss: 153.7821 - output_salary_acc: 0.7484 - output_age_mean_squared_error: 153.7821
17216/24129 [====================>.........] - ETA: 1s - loss: 154.5138 - output_salary_loss: 0.5501 - output_age_loss: 153.9637 - output_salary_acc: 0.7485 - output_age_mean_squared_error: 153.9637
17312/24129 [====================>.........] - ETA: 1s - loss: 154.4157 - output_salary_loss: 0.5505 - output_age_loss: 153.8651 - output_salary_acc: 0.7482 - output_age_mean_squared_error: 153.8651
17472/24129 [====================>.........] - ETA: 1s - loss: 154.5529 - output_salary_loss: 0.5509 - output_age_loss: 154.0019 - output_salary_acc: 0.7482 - output_age_mean_squared_error: 154.0019
17824/24129 [=====================>........] - ETA: 1s - loss: 154.7542 - output_salary_loss: 0.5512 - output_age_loss: 154.2029 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 154.2029
18208/24129 [=====================>........] - ETA: 1s - loss: 154.6411 - output_salary_loss: 0.5510 - output_age_loss: 154.0901 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 154.0901
18528/24129 [======================>.......] - ETA: 1s - loss: 154.4386 - output_salary_loss: 0.5522 - output_age_loss: 153.8864 - output_salary_acc: 0.7479 - output_age_mean_squared_error: 153.8864
18912/24129 [======================>.......] - ETA: 1s - loss: 154.1196 - output_salary_loss: 0.5519 - output_age_loss: 153.5677 - output_salary_acc: 0.7483 - output_age_mean_squared_error: 153.5677
19328/24129 [=======================>......] - ETA: 1s - loss: 153.9860 - output_salary_loss: 0.5521 - output_age_loss: 153.4339 - output_salary_acc: 0.7482 - output_age_mean_squared_error: 153.4339
19680/24129 [=======================>......] - ETA: 1s - loss: 153.9985 - output_salary_loss: 0.5521 - output_age_loss: 153.4464 - output_salary_acc: 0.7482 - output_age_mean_squared_error: 153.4464
20064/24129 [=======================>......] - ETA: 0s - loss: 153.8602 - output_salary_loss: 0.5517 - output_age_loss: 153.3085 - output_salary_acc: 0.7483 - output_age_mean_squared_error: 153.3085
20480/24129 [========================>.....] - ETA: 0s - loss: 153.3916 - output_salary_loss: 0.5509 - output_age_loss: 152.8407 - output_salary_acc: 0.7488 - output_age_mean_squared_error: 152.8407
20864/24129 [========================>.....] - ETA: 0s - loss: 153.7191 - output_salary_loss: 0.5507 - output_age_loss: 153.1684 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 153.1684
21216/24129 [=========================>....] - ETA: 0s - loss: 153.7386 - output_salary_loss: 0.5504 - output_age_loss: 153.1881 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 153.1881
21600/24129 [=========================>....] - ETA: 0s - loss: 153.5634 - output_salary_loss: 0.5504 - output_age_loss: 153.0130 - output_salary_acc: 0.7491 - output_age_mean_squared_error: 153.0130
21984/24129 [==========================>...] - ETA: 0s - loss: 153.2659 - output_salary_loss: 0.5503 - output_age_loss: 152.7156 - output_salary_acc: 0.7488 - output_age_mean_squared_error: 152.7156
22336/24129 [==========================>...] - ETA: 0s - loss: 153.0188 - output_salary_loss: 0.5506 - output_age_loss: 152.4682 - output_salary_acc: 0.7482 - output_age_mean_squared_error: 152.4682
22816/24129 [===========================>..] - ETA: 0s - loss: 152.9224 - output_salary_loss: 0.5501 - output_age_loss: 152.3724 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 152.3724
23264/24129 [===========================>..] - ETA: 0s - loss: 153.2147 - output_salary_loss: 0.5501 - output_age_loss: 152.6646 - output_salary_acc: 0.7482 - output_age_mean_squared_error: 152.6646
23744/24129 [============================>.] - ETA: 0s - loss: 152.7538 - output_salary_loss: 0.5499 - output_age_loss: 152.2039 - output_salary_acc: 0.7484 - output_age_mean_squared_error: 152.2039
24129/24129 [==============================] - 5s 226us/step - loss: 153.0252 - output_salary_loss: 0.5503 - output_age_loss: 152.4748 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 152.4748 - val_loss: 96.6184 - val_output_salary_loss: 0.5393 - val_output_age_loss: 96.0791 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 96.0791
Epoch 11/20
32/24129 [..............................] - ETA: 3s - loss: 122.3354 - output_salary_loss: 0.6130 - output_age_loss: 121.7224 - output_salary_acc: 0.6562 - output_age_mean_squared_error: 121.7224
480/24129 [..............................] - ETA: 3s - loss: 133.5354 - output_salary_loss: 0.5326 - output_age_loss: 133.0028 - output_salary_acc: 0.7625 - output_age_mean_squared_error: 133.0028
928/24129 [>.............................] - ETA: 2s - loss: 144.1140 - output_salary_loss: 0.5634 - output_age_loss: 143.5506 - output_salary_acc: 0.7284 - output_age_mean_squared_error: 143.5506
1312/24129 [>.............................] - ETA: 2s - loss: 154.4317 - output_salary_loss: 0.5716 - output_age_loss: 153.8601 - output_salary_acc: 0.7218 - output_age_mean_squared_error: 153.8601
1696/24129 [=>............................] - ETA: 2s - loss: 155.7981 - output_salary_loss: 0.5660 - output_age_loss: 155.2321 - output_salary_acc: 0.7300 - output_age_mean_squared_error: 155.2321
2112/24129 [=>............................] - ETA: 2s - loss: 160.1462 - output_salary_loss: 0.5580 - output_age_loss: 159.5882 - output_salary_acc: 0.7348 - output_age_mean_squared_error: 159.5882
2528/24129 [==>...........................] - ETA: 2s - loss: 156.2234 - output_salary_loss: 0.5500 - output_age_loss: 155.6735 - output_salary_acc: 0.7433 - output_age_mean_squared_error: 155.6735
2880/24129 [==>...........................] - ETA: 2s - loss: 156.2406 - output_salary_loss: 0.5530 - output_age_loss: 155.6877 - output_salary_acc: 0.7417 - output_age_mean_squared_error: 155.6877
3200/24129 [==>...........................] - ETA: 2s - loss: 154.2645 - output_salary_loss: 0.5538 - output_age_loss: 153.7107 - output_salary_acc: 0.7391 - output_age_mean_squared_error: 153.7107
3328/24129 [===>..........................] - ETA: 3s - loss: 153.9402 - output_salary_loss: 0.5540 - output_age_loss: 153.3863 - output_salary_acc: 0.7392 - output_age_mean_squared_error: 153.3863
3456/24129 [===>..........................] - ETA: 3s - loss: 154.7856 - output_salary_loss: 0.5518 - output_age_loss: 154.2337 - output_salary_acc: 0.7422 - output_age_mean_squared_error: 154.2337
3584/24129 [===>..........................] - ETA: 3s - loss: 153.6901 - output_salary_loss: 0.5484 - output_age_loss: 153.1417 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 153.1417
3712/24129 [===>..........................] - ETA: 3s - loss: 153.3907 - output_salary_loss: 0.5505 - output_age_loss: 152.8402 - output_salary_acc: 0.7433 - output_age_mean_squared_error: 152.8402
3872/24129 [===>..........................] - ETA: 3s - loss: 152.7595 - output_salary_loss: 0.5506 - output_age_loss: 152.2089 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 152.2089
4032/24129 [====>.........................] - ETA: 3s - loss: 151.9092 - output_salary_loss: 0.5483 - output_age_loss: 151.3608 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 151.3608
4160/24129 [====>.........................] - ETA: 4s - loss: 151.7861 - output_salary_loss: 0.5468 - output_age_loss: 151.2393 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 151.2393
4256/24129 [====>.........................] - ETA: 4s - loss: 151.6247 - output_salary_loss: 0.5478 - output_age_loss: 151.0769 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 151.0769
4384/24129 [====>.........................] - ETA: 4s - loss: 152.7996 - output_salary_loss: 0.5498 - output_age_loss: 152.2498 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 152.2498
4512/24129 [====>.........................] - ETA: 4s - loss: 152.4615 - output_salary_loss: 0.5491 - output_age_loss: 151.9124 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 151.9124
4672/24129 [====>.........................] - ETA: 4s - loss: 152.2428 - output_salary_loss: 0.5482 - output_age_loss: 151.6946 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 151.6946
4832/24129 [=====>........................] - ETA: 4s - loss: 152.8562 - output_salary_loss: 0.5459 - output_age_loss: 152.3103 - output_salary_acc: 0.7483 - output_age_mean_squared_error: 152.3103
4992/24129 [=====>........................] - ETA: 4s - loss: 152.4501 - output_salary_loss: 0.5473 - output_age_loss: 151.9028 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 151.9028
5152/24129 [=====>........................] - ETA: 4s - loss: 152.6662 - output_salary_loss: 0.5477 - output_age_loss: 152.1185 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 152.1185
5312/24129 [=====>........................] - ETA: 4s - loss: 151.8703 - output_salary_loss: 0.5499 - output_age_loss: 151.3204 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 151.3204
5504/24129 [=====>........................] - ETA: 4s - loss: 152.8111 - output_salary_loss: 0.5503 - output_age_loss: 152.2608 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 152.2608
5696/24129 [======>.......................] - ETA: 4s - loss: 152.7291 - output_salary_loss: 0.5506 - output_age_loss: 152.1784 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 152.1784
6208/24129 [======>.......................] - ETA: 4s - loss: 152.1138 - output_salary_loss: 0.5533 - output_age_loss: 151.5605 - output_salary_acc: 0.7424 - output_age_mean_squared_error: 151.5605
6816/24129 [=======>......................] - ETA: 3s - loss: 152.4093 - output_salary_loss: 0.5527 - output_age_loss: 151.8566 - output_salary_acc: 0.7428 - output_age_mean_squared_error: 151.8566
7136/24129 [=======>......................] - ETA: 3s - loss: 151.3643 - output_salary_loss: 0.5534 - output_age_loss: 150.8109 - output_salary_acc: 0.7424 - output_age_mean_squared_error: 150.8109
7264/24129 [========>.....................] - ETA: 3s - loss: 151.2197 - output_salary_loss: 0.5523 - output_age_loss: 150.6673 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 150.6673
7360/24129 [========>.....................] - ETA: 3s - loss: 151.5206 - output_salary_loss: 0.5517 - output_age_loss: 150.9689 - output_salary_acc: 0.7436 - output_age_mean_squared_error: 150.9689
7488/24129 [========>.....................] - ETA: 3s - loss: 151.7885 - output_salary_loss: 0.5518 - output_age_loss: 151.2367 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 151.2367
7616/24129 [========>.....................] - ETA: 3s - loss: 151.8747 - output_salary_loss: 0.5519 - output_age_loss: 151.3228 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 151.3228
7744/24129 [========>.....................] - ETA: 3s - loss: 152.3280 - output_salary_loss: 0.5517 - output_age_loss: 151.7763 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 151.7763
7840/24129 [========>.....................] - ETA: 3s - loss: 152.1597 - output_salary_loss: 0.5519 - output_age_loss: 151.6078 - output_salary_acc: 0.7436 - output_age_mean_squared_error: 151.6078
7968/24129 [========>.....................] - ETA: 4s - loss: 152.3415 - output_salary_loss: 0.5511 - output_age_loss: 151.7904 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 151.7904
8096/24129 [=========>....................] - ETA: 4s - loss: 152.1695 - output_salary_loss: 0.5518 - output_age_loss: 151.6177 - output_salary_acc: 0.7435 - output_age_mean_squared_error: 151.6177
8224/24129 [=========>....................] - ETA: 4s - loss: 151.9674 - output_salary_loss: 0.5517 - output_age_loss: 151.4157 - output_salary_acc: 0.7431 - output_age_mean_squared_error: 151.4157
8352/24129 [=========>....................] - ETA: 4s - loss: 152.2510 - output_salary_loss: 0.5516 - output_age_loss: 151.6993 - output_salary_acc: 0.7429 - output_age_mean_squared_error: 151.6993
8512/24129 [=========>....................] - ETA: 4s - loss: 151.9764 - output_salary_loss: 0.5519 - output_age_loss: 151.4245 - output_salary_acc: 0.7424 - output_age_mean_squared_error: 151.4245
8672/24129 [=========>....................] - ETA: 4s - loss: 152.0156 - output_salary_loss: 0.5519 - output_age_loss: 151.4637 - output_salary_acc: 0.7425 - output_age_mean_squared_error: 151.4637
8800/24129 [=========>....................] - ETA: 4s - loss: 151.7242 - output_salary_loss: 0.5514 - output_age_loss: 151.1727 - output_salary_acc: 0.7427 - output_age_mean_squared_error: 151.1727
8896/24129 [==========>...................] - ETA: 4s - loss: 151.8577 - output_salary_loss: 0.5507 - output_age_loss: 151.3071 - output_salary_acc: 0.7434 - output_age_mean_squared_error: 151.3071
8960/24129 [==========>...................] - ETA: 4s - loss: 151.6973 - output_salary_loss: 0.5504 - output_age_loss: 151.1468 - output_salary_acc: 0.7435 - output_age_mean_squared_error: 151.1468
9120/24129 [==========>...................] - ETA: 4s - loss: 151.7323 - output_salary_loss: 0.5511 - output_age_loss: 151.1812 - output_salary_acc: 0.7428 - output_age_mean_squared_error: 151.1812
9600/24129 [==========>...................] - ETA: 3s - loss: 151.4671 - output_salary_loss: 0.5514 - output_age_loss: 150.9157 - output_salary_acc: 0.7426 - output_age_mean_squared_error: 150.9157
10176/24129 [===========>..................] - ETA: 3s - loss: 151.5791 - output_salary_loss: 0.5512 - output_age_loss: 151.0279 - output_salary_acc: 0.7429 - output_age_mean_squared_error: 151.0279
10880/24129 [============>.................] - ETA: 3s - loss: 153.2154 - output_salary_loss: 0.5502 - output_age_loss: 152.6653 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 152.6653
11328/24129 [=============>................] - ETA: 3s - loss: 153.1031 - output_salary_loss: 0.5499 - output_age_loss: 152.5532 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 152.5532
11840/24129 [=============>................] - ETA: 2s - loss: 152.8138 - output_salary_loss: 0.5491 - output_age_loss: 152.2647 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 152.2647
12224/24129 [==============>...............] - ETA: 2s - loss: 152.7761 - output_salary_loss: 0.5492 - output_age_loss: 152.2269 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 152.2269
12544/24129 [==============>...............] - ETA: 2s - loss: 152.7741 - output_salary_loss: 0.5493 - output_age_loss: 152.2248 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 152.2248
12832/24129 [==============>...............] - ETA: 2s - loss: 152.6321 - output_salary_loss: 0.5486 - output_age_loss: 152.0835 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 152.0835
12992/24129 [===============>..............] - ETA: 2s - loss: 152.7971 - output_salary_loss: 0.5483 - output_age_loss: 152.2488 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 152.2488
13056/24129 [===============>..............] - ETA: 2s - loss: 152.6390 - output_salary_loss: 0.5480 - output_age_loss: 152.0910 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 152.0910
13216/24129 [===============>..............] - ETA: 2s - loss: 152.6563 - output_salary_loss: 0.5481 - output_age_loss: 152.1082 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 152.1082
13312/24129 [===============>..............] - ETA: 2s - loss: 152.5338 - output_salary_loss: 0.5486 - output_age_loss: 151.9853 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 151.9853
13440/24129 [===============>..............] - ETA: 2s - loss: 152.2197 - output_salary_loss: 0.5478 - output_age_loss: 151.6719 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 151.6719
13568/24129 [===============>..............] - ETA: 2s - loss: 152.4004 - output_salary_loss: 0.5484 - output_age_loss: 151.8521 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 151.8521
13664/24129 [===============>..............] - ETA: 2s - loss: 152.6939 - output_salary_loss: 0.5486 - output_age_loss: 152.1453 - output_salary_acc: 0.7460 - output_age_mean_squared_error: 152.1453
13760/24129 [================>.............] - ETA: 2s - loss: 152.4901 - output_salary_loss: 0.5485 - output_age_loss: 151.9416 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 151.9416
13856/24129 [================>.............] - ETA: 2s - loss: 152.6414 - output_salary_loss: 0.5485 - output_age_loss: 152.0929 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 152.0929
13952/24129 [================>.............] - ETA: 2s - loss: 152.5363 - output_salary_loss: 0.5482 - output_age_loss: 151.9881 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 151.9881
14016/24129 [================>.............] - ETA: 2s - loss: 152.3602 - output_salary_loss: 0.5486 - output_age_loss: 151.8117 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 151.8117
14144/24129 [================>.............] - ETA: 2s - loss: 152.0147 - output_salary_loss: 0.5480 - output_age_loss: 151.4667 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 151.4667
14240/24129 [================>.............] - ETA: 2s - loss: 152.3004 - output_salary_loss: 0.5478 - output_age_loss: 151.7525 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 151.7525
14368/24129 [================>.............] - ETA: 2s - loss: 152.0676 - output_salary_loss: 0.5475 - output_age_loss: 151.5201 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 151.5201
14464/24129 [================>.............] - ETA: 2s - loss: 151.8069 - output_salary_loss: 0.5478 - output_age_loss: 151.2591 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 151.2591
14496/24129 [=================>............] - ETA: 2s - loss: 151.7641 - output_salary_loss: 0.5477 - output_age_loss: 151.2164 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 151.2164
14752/24129 [=================>............] - ETA: 2s - loss: 151.9230 - output_salary_loss: 0.5474 - output_age_loss: 151.3756 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 151.3756
15008/24129 [=================>............] - ETA: 2s - loss: 151.7706 - output_salary_loss: 0.5482 - output_age_loss: 151.2224 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 151.2224
15328/24129 [==================>...........] - ETA: 2s - loss: 151.3441 - output_salary_loss: 0.5481 - output_age_loss: 150.7960 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 150.7960
15616/24129 [==================>...........] - ETA: 2s - loss: 151.5099 - output_salary_loss: 0.5480 - output_age_loss: 150.9619 - output_salary_acc: 0.7458 - output_age_mean_squared_error: 150.9619
16064/24129 [==================>...........] - ETA: 2s - loss: 151.3303 - output_salary_loss: 0.5477 - output_age_loss: 150.7826 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 150.7826
16416/24129 [===================>..........] - ETA: 2s - loss: 151.2037 - output_salary_loss: 0.5475 - output_age_loss: 150.6563 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 150.6563
16640/24129 [===================>..........] - ETA: 1s - loss: 151.3079 - output_salary_loss: 0.5470 - output_age_loss: 150.7609 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 150.7609
16736/24129 [===================>..........] - ETA: 1s - loss: 151.1853 - output_salary_loss: 0.5471 - output_age_loss: 150.6383 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 150.6383
16864/24129 [===================>..........] - ETA: 1s - loss: 151.2303 - output_salary_loss: 0.5465 - output_age_loss: 150.6838 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 150.6838
16960/24129 [====================>.........] - ETA: 1s - loss: 151.3111 - output_salary_loss: 0.5464 - output_age_loss: 150.7647 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 150.7647
17088/24129 [====================>.........] - ETA: 1s - loss: 151.3532 - output_salary_loss: 0.5460 - output_age_loss: 150.8073 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 150.8073
17184/24129 [====================>.........] - ETA: 1s - loss: 151.2376 - output_salary_loss: 0.5461 - output_age_loss: 150.6915 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 150.6915
17248/24129 [====================>.........] - ETA: 1s - loss: 151.1219 - output_salary_loss: 0.5457 - output_age_loss: 150.5761 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 150.5761
17376/24129 [====================>.........] - ETA: 1s - loss: 151.2234 - output_salary_loss: 0.5455 - output_age_loss: 150.6779 - output_salary_acc: 0.7476 - output_age_mean_squared_error: 150.6779
17504/24129 [====================>.........] - ETA: 1s - loss: 151.0605 - output_salary_loss: 0.5454 - output_age_loss: 150.5152 - output_salary_acc: 0.7476 - output_age_mean_squared_error: 150.5152
17600/24129 [====================>.........] - ETA: 1s - loss: 150.8917 - output_salary_loss: 0.5449 - output_age_loss: 150.3468 - output_salary_acc: 0.7481 - output_age_mean_squared_error: 150.3468
17696/24129 [=====================>........] - ETA: 1s - loss: 150.8919 - output_salary_loss: 0.5448 - output_age_loss: 150.3470 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 150.3470
17824/24129 [=====================>........] - ETA: 1s - loss: 150.9137 - output_salary_loss: 0.5446 - output_age_loss: 150.3691 - output_salary_acc: 0.7483 - output_age_mean_squared_error: 150.3691
17920/24129 [=====================>........] - ETA: 1s - loss: 150.8396 - output_salary_loss: 0.5445 - output_age_loss: 150.2951 - output_salary_acc: 0.7485 - output_age_mean_squared_error: 150.2951
18048/24129 [=====================>........] - ETA: 1s - loss: 150.9349 - output_salary_loss: 0.5445 - output_age_loss: 150.3905 - output_salary_acc: 0.7485 - output_age_mean_squared_error: 150.3905
18144/24129 [=====================>........] - ETA: 1s - loss: 151.1292 - output_salary_loss: 0.5444 - output_age_loss: 150.5848 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 150.5848
18272/24129 [=====================>........] - ETA: 1s - loss: 151.1034 - output_salary_loss: 0.5443 - output_age_loss: 150.5591 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 150.5591
18368/24129 [=====================>........] - ETA: 1s - loss: 151.1490 - output_salary_loss: 0.5447 - output_age_loss: 150.6042 - output_salary_acc: 0.7483 - output_age_mean_squared_error: 150.6042
18656/24129 [======================>.......] - ETA: 1s - loss: 150.9724 - output_salary_loss: 0.5443 - output_age_loss: 150.4280 - output_salary_acc: 0.7485 - output_age_mean_squared_error: 150.4280
18976/24129 [======================>.......] - ETA: 1s - loss: 150.7023 - output_salary_loss: 0.5443 - output_age_loss: 150.1580 - output_salary_acc: 0.7484 - output_age_mean_squared_error: 150.1580
19328/24129 [=======================>......] - ETA: 1s - loss: 150.4442 - output_salary_loss: 0.5442 - output_age_loss: 149.9000 - output_salary_acc: 0.7484 - output_age_mean_squared_error: 149.9000
19616/24129 [=======================>......] - ETA: 1s - loss: 150.1877 - output_salary_loss: 0.5444 - output_age_loss: 149.6433 - output_salary_acc: 0.7482 - output_age_mean_squared_error: 149.6433
19744/24129 [=======================>......] - ETA: 1s - loss: 150.3544 - output_salary_loss: 0.5446 - output_age_loss: 149.8098 - output_salary_acc: 0.7476 - output_age_mean_squared_error: 149.8098
19872/24129 [=======================>......] - ETA: 1s - loss: 150.3327 - output_salary_loss: 0.5447 - output_age_loss: 149.7880 - output_salary_acc: 0.7475 - output_age_mean_squared_error: 149.7880
19968/24129 [=======================>......] - ETA: 1s - loss: 150.3415 - output_salary_loss: 0.5447 - output_age_loss: 149.7967 - output_salary_acc: 0.7475 - output_age_mean_squared_error: 149.7967
20096/24129 [=======================>......] - ETA: 1s - loss: 150.2154 - output_salary_loss: 0.5449 - output_age_loss: 149.6704 - output_salary_acc: 0.7473 - output_age_mean_squared_error: 149.6704
20224/24129 [========================>.....] - ETA: 1s - loss: 150.2869 - output_salary_loss: 0.5450 - output_age_loss: 149.7419 - output_salary_acc: 0.7473 - output_age_mean_squared_error: 149.7419
20256/24129 [========================>.....] - ETA: 1s - loss: 150.4186 - output_salary_loss: 0.5449 - output_age_loss: 149.8736 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 149.8736
20352/24129 [========================>.....] - ETA: 1s - loss: 150.2304 - output_salary_loss: 0.5444 - output_age_loss: 149.6860 - output_salary_acc: 0.7477 - output_age_mean_squared_error: 149.6860
20512/24129 [========================>.....] - ETA: 1s - loss: 150.2422 - output_salary_loss: 0.5449 - output_age_loss: 149.6973 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 149.6973
20608/24129 [========================>.....] - ETA: 1s - loss: 150.3252 - output_salary_loss: 0.5451 - output_age_loss: 149.7801 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 149.7801
20704/24129 [========================>.....] - ETA: 1s - loss: 150.2970 - output_salary_loss: 0.5452 - output_age_loss: 149.7518 - output_salary_acc: 0.7473 - output_age_mean_squared_error: 149.7518
20832/24129 [========================>.....] - ETA: 0s - loss: 150.1559 - output_salary_loss: 0.5453 - output_age_loss: 149.6105 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 149.6105
20960/24129 [=========================>....] - ETA: 0s - loss: 150.2192 - output_salary_loss: 0.5456 - output_age_loss: 149.6736 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 149.6736
21056/24129 [=========================>....] - ETA: 0s - loss: 150.1360 - output_salary_loss: 0.5459 - output_age_loss: 149.5901 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 149.5901
21216/24129 [=========================>....] - ETA: 0s - loss: 150.0533 - output_salary_loss: 0.5456 - output_age_loss: 149.5077 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 149.5077
21312/24129 [=========================>....] - ETA: 0s - loss: 150.1293 - output_salary_loss: 0.5453 - output_age_loss: 149.5840 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 149.5840
21344/24129 [=========================>....] - ETA: 0s - loss: 150.2612 - output_salary_loss: 0.5453 - output_age_loss: 149.7159 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 149.7159
21600/24129 [=========================>....] - ETA: 0s - loss: 149.8387 - output_salary_loss: 0.5450 - output_age_loss: 149.2937 - output_salary_acc: 0.7475 - output_age_mean_squared_error: 149.2937
21952/24129 [==========================>...] - ETA: 0s - loss: 149.6339 - output_salary_loss: 0.5452 - output_age_loss: 149.0887 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 149.0887
22304/24129 [==========================>...] - ETA: 0s - loss: 149.6573 - output_salary_loss: 0.5449 - output_age_loss: 149.1123 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 149.1123
22464/24129 [==========================>...] - ETA: 0s - loss: 149.4729 - output_salary_loss: 0.5448 - output_age_loss: 148.9281 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 148.9281
22560/24129 [===========================>..] - ETA: 0s - loss: 149.3318 - output_salary_loss: 0.5450 - output_age_loss: 148.7868 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 148.7868
22688/24129 [===========================>..] - ETA: 0s - loss: 149.3132 - output_salary_loss: 0.5453 - output_age_loss: 148.7679 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 148.7679
22784/24129 [===========================>..] - ETA: 0s - loss: 149.4189 - output_salary_loss: 0.5452 - output_age_loss: 148.8737 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 148.8737
22880/24129 [===========================>..] - ETA: 0s - loss: 149.4551 - output_salary_loss: 0.5454 - output_age_loss: 148.9097 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 148.9097
23008/24129 [===========================>..] - ETA: 0s - loss: 149.3648 - output_salary_loss: 0.5456 - output_age_loss: 148.8192 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 148.8192
23136/24129 [===========================>..] - ETA: 0s - loss: 149.4990 - output_salary_loss: 0.5454 - output_age_loss: 148.9536 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 148.9536
23232/24129 [===========================>..] - ETA: 0s - loss: 149.3999 - output_salary_loss: 0.5451 - output_age_loss: 148.8548 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 148.8548
23360/24129 [============================>.] - ETA: 0s - loss: 149.4281 - output_salary_loss: 0.5451 - output_age_loss: 148.8830 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 148.8830
23520/24129 [============================>.] - ETA: 0s - loss: 149.1621 - output_salary_loss: 0.5446 - output_age_loss: 148.6174 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 148.6174
23584/24129 [============================>.] - ETA: 0s - loss: 149.1193 - output_salary_loss: 0.5446 - output_age_loss: 148.5746 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 148.5746
23680/24129 [============================>.] - ETA: 0s - loss: 149.0990 - output_salary_loss: 0.5445 - output_age_loss: 148.5545 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 148.5545
23808/24129 [============================>.] - ETA: 0s - loss: 148.9629 - output_salary_loss: 0.5447 - output_age_loss: 148.4181 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 148.4181
23840/24129 [============================>.] - ETA: 0s - loss: 148.8615 - output_salary_loss: 0.5447 - output_age_loss: 148.3168 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 148.3168
23968/24129 [============================>.] - ETA: 0s - loss: 148.7538 - output_salary_loss: 0.5446 - output_age_loss: 148.2093 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 148.2093
24096/24129 [============================>.] - ETA: 0s - loss: 148.8106 - output_salary_loss: 0.5450 - output_age_loss: 148.2657 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 148.2657
24129/24129 [==============================] - 8s 327us/step - loss: 148.8558 - output_salary_loss: 0.5448 - output_age_loss: 148.3110 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 148.3110 - val_loss: 96.3936 - val_output_salary_loss: 0.5376 - val_output_age_loss: 95.8560 - val_output_salary_acc: 0.7456 - val_output_age_mean_squared_error: 95.8560
Epoch 12/20
32/24129 [..............................] - ETA: 8s - loss: 156.5453 - output_salary_loss: 0.5715 - output_age_loss: 155.9738 - output_salary_acc: 0.6562 - output_age_mean_squared_error: 155.9738
672/24129 [..............................] - ETA: 2s - loss: 120.4909 - output_salary_loss: 0.5582 - output_age_loss: 119.9327 - output_salary_acc: 0.7232 - output_age_mean_squared_error: 119.9327
1312/24129 [>.............................] - ETA: 1s - loss: 139.6375 - output_salary_loss: 0.5508 - output_age_loss: 139.0867 - output_salary_acc: 0.7355 - output_age_mean_squared_error: 139.0867
1984/24129 [=>............................] - ETA: 1s - loss: 146.8951 - output_salary_loss: 0.5397 - output_age_loss: 146.3555 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 146.3555
2656/24129 [==>...........................] - ETA: 1s - loss: 148.8313 - output_salary_loss: 0.5393 - output_age_loss: 148.2920 - output_salary_acc: 0.7485 - output_age_mean_squared_error: 148.2920
3264/24129 [===>..........................] - ETA: 1s - loss: 149.9713 - output_salary_loss: 0.5424 - output_age_loss: 149.4289 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 149.4289
3904/24129 [===>..........................] - ETA: 1s - loss: 152.3147 - output_salary_loss: 0.5429 - output_age_loss: 151.7718 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 151.7718
4544/24129 [====>.........................] - ETA: 1s - loss: 151.3209 - output_salary_loss: 0.5471 - output_age_loss: 150.7738 - output_salary_acc: 0.7425 - output_age_mean_squared_error: 150.7738
5184/24129 [=====>........................] - ETA: 1s - loss: 148.2097 - output_salary_loss: 0.5430 - output_age_loss: 147.6667 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 147.6667
5792/24129 [======>.......................] - ETA: 1s - loss: 146.1860 - output_salary_loss: 0.5439 - output_age_loss: 145.6421 - output_salary_acc: 0.7460 - output_age_mean_squared_error: 145.6421
6464/24129 [=======>......................] - ETA: 1s - loss: 148.3255 - output_salary_loss: 0.5451 - output_age_loss: 147.7803 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 147.7803
7136/24129 [=======>......................] - ETA: 1s - loss: 147.8049 - output_salary_loss: 0.5450 - output_age_loss: 147.2599 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 147.2599
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8320/24129 [=========>....................] - ETA: 1s - loss: 147.0717 - output_salary_loss: 0.5451 - output_age_loss: 146.5266 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 146.5266
8960/24129 [==========>...................] - ETA: 1s - loss: 146.1015 - output_salary_loss: 0.5450 - output_age_loss: 145.5565 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 145.5565
9536/24129 [==========>...................] - ETA: 1s - loss: 146.6944 - output_salary_loss: 0.5431 - output_age_loss: 146.1513 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 146.1513
10144/24129 [===========>..................] - ETA: 1s - loss: 147.0484 - output_salary_loss: 0.5427 - output_age_loss: 146.5057 - output_salary_acc: 0.7476 - output_age_mean_squared_error: 146.5057
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11264/24129 [=============>................] - ETA: 1s - loss: 146.3852 - output_salary_loss: 0.5421 - output_age_loss: 145.8431 - output_salary_acc: 0.7479 - output_age_mean_squared_error: 145.8431
11744/24129 [=============>................] - ETA: 1s - loss: 145.9049 - output_salary_loss: 0.5419 - output_age_loss: 145.3631 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 145.3631
12160/24129 [==============>...............] - ETA: 1s - loss: 146.3942 - output_salary_loss: 0.5419 - output_age_loss: 145.8523 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 145.8523
12320/24129 [==============>...............] - ETA: 1s - loss: 146.3498 - output_salary_loss: 0.5417 - output_age_loss: 145.8082 - output_salary_acc: 0.7475 - output_age_mean_squared_error: 145.8082
12448/24129 [==============>...............] - ETA: 1s - loss: 146.7694 - output_salary_loss: 0.5418 - output_age_loss: 146.2277 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 146.2277
12576/24129 [==============>...............] - ETA: 1s - loss: 146.7257 - output_salary_loss: 0.5420 - output_age_loss: 146.1837 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 146.1837
12672/24129 [==============>...............] - ETA: 1s - loss: 147.0921 - output_salary_loss: 0.5419 - output_age_loss: 146.5502 - output_salary_acc: 0.7475 - output_age_mean_squared_error: 146.5502
12800/24129 [==============>...............] - ETA: 1s - loss: 146.8862 - output_salary_loss: 0.5426 - output_age_loss: 146.3436 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 146.3436
12896/24129 [===============>..............] - ETA: 1s - loss: 146.9151 - output_salary_loss: 0.5431 - output_age_loss: 146.3720 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 146.3720
13024/24129 [===============>..............] - ETA: 1s - loss: 146.9594 - output_salary_loss: 0.5435 - output_age_loss: 146.4159 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 146.4159
13152/24129 [===============>..............] - ETA: 1s - loss: 147.4266 - output_salary_loss: 0.5433 - output_age_loss: 146.8833 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 146.8833
13248/24129 [===============>..............] - ETA: 1s - loss: 147.9875 - output_salary_loss: 0.5436 - output_age_loss: 147.4439 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 147.4439
13344/24129 [===============>..............] - ETA: 1s - loss: 147.8155 - output_salary_loss: 0.5435 - output_age_loss: 147.2720 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 147.2720
13504/24129 [===============>..............] - ETA: 1s - loss: 148.0227 - output_salary_loss: 0.5433 - output_age_loss: 147.4794 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 147.4794
13600/24129 [===============>..............] - ETA: 1s - loss: 147.9153 - output_salary_loss: 0.5439 - output_age_loss: 147.3715 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 147.3715
13664/24129 [===============>..............] - ETA: 1s - loss: 148.0584 - output_salary_loss: 0.5441 - output_age_loss: 147.5144 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 147.5144
13792/24129 [================>.............] - ETA: 1s - loss: 147.7269 - output_salary_loss: 0.5439 - output_age_loss: 147.1830 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 147.1830
13952/24129 [================>.............] - ETA: 1s - loss: 147.8541 - output_salary_loss: 0.5442 - output_age_loss: 147.3099 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 147.3099
14048/24129 [================>.............] - ETA: 1s - loss: 148.0014 - output_salary_loss: 0.5436 - output_age_loss: 147.4578 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 147.4578
14176/24129 [================>.............] - ETA: 1s - loss: 147.8025 - output_salary_loss: 0.5436 - output_age_loss: 147.2589 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 147.2589
14368/24129 [================>.............] - ETA: 1s - loss: 147.7671 - output_salary_loss: 0.5431 - output_age_loss: 147.2240 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 147.2240
14720/24129 [=================>............] - ETA: 1s - loss: 147.5253 - output_salary_loss: 0.5437 - output_age_loss: 146.9816 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 146.9816
15104/24129 [=================>............] - ETA: 1s - loss: 147.0671 - output_salary_loss: 0.5431 - output_age_loss: 146.5240 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 146.5240
15264/24129 [=================>............] - ETA: 1s - loss: 146.7179 - output_salary_loss: 0.5437 - output_age_loss: 146.1742 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 146.1742
15328/24129 [==================>...........] - ETA: 1s - loss: 146.6598 - output_salary_loss: 0.5435 - output_age_loss: 146.1163 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 146.1163
15424/24129 [==================>...........] - ETA: 1s - loss: 146.6841 - output_salary_loss: 0.5439 - output_age_loss: 146.1402 - output_salary_acc: 0.7440 - output_age_mean_squared_error: 146.1402
15552/24129 [==================>...........] - ETA: 1s - loss: 146.6240 - output_salary_loss: 0.5437 - output_age_loss: 146.0803 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 146.0803
15680/24129 [==================>...........] - ETA: 1s - loss: 146.6028 - output_salary_loss: 0.5435 - output_age_loss: 146.0593 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 146.0593
15776/24129 [==================>...........] - ETA: 1s - loss: 146.6101 - output_salary_loss: 0.5438 - output_age_loss: 146.0662 - output_salary_acc: 0.7437 - output_age_mean_squared_error: 146.0662
15840/24129 [==================>...........] - ETA: 1s - loss: 146.4726 - output_salary_loss: 0.5438 - output_age_loss: 145.9288 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 145.9288
15904/24129 [==================>...........] - ETA: 1s - loss: 146.5449 - output_salary_loss: 0.5435 - output_age_loss: 146.0014 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 146.0014
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16096/24129 [===================>..........] - ETA: 1s - loss: 146.4066 - output_salary_loss: 0.5433 - output_age_loss: 145.8632 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 145.8632
16128/24129 [===================>..........] - ETA: 1s - loss: 146.4282 - output_salary_loss: 0.5435 - output_age_loss: 145.8848 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 145.8848
16256/24129 [===================>..........] - ETA: 1s - loss: 146.5850 - output_salary_loss: 0.5433 - output_age_loss: 146.0417 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 146.0417
16384/24129 [===================>..........] - ETA: 1s - loss: 146.5095 - output_salary_loss: 0.5435 - output_age_loss: 145.9660 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 145.9660
16480/24129 [===================>..........] - ETA: 1s - loss: 146.4826 - output_salary_loss: 0.5431 - output_age_loss: 145.9395 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 145.9395
16576/24129 [===================>..........] - ETA: 1s - loss: 146.4789 - output_salary_loss: 0.5430 - output_age_loss: 145.9359 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 145.9359
16672/24129 [===================>..........] - ETA: 1s - loss: 146.8628 - output_salary_loss: 0.5430 - output_age_loss: 146.3198 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 146.3198
16768/24129 [===================>..........] - ETA: 1s - loss: 146.9019 - output_salary_loss: 0.5427 - output_age_loss: 146.3592 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 146.3592
17056/24129 [====================>.........] - ETA: 1s - loss: 146.6638 - output_salary_loss: 0.5433 - output_age_loss: 146.1205 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 146.1205
17152/24129 [====================>.........] - ETA: 1s - loss: 147.0161 - output_salary_loss: 0.5431 - output_age_loss: 146.4731 - output_salary_acc: 0.7448 - output_age_mean_squared_error: 146.4731
17248/24129 [====================>.........] - ETA: 1s - loss: 146.7155 - output_salary_loss: 0.5430 - output_age_loss: 146.1724 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 146.1724
17344/24129 [====================>.........] - ETA: 1s - loss: 146.4479 - output_salary_loss: 0.5427 - output_age_loss: 145.9052 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 145.9052
17440/24129 [====================>.........] - ETA: 1s - loss: 146.4115 - output_salary_loss: 0.5425 - output_age_loss: 145.8690 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 145.8690
17568/24129 [====================>.........] - ETA: 1s - loss: 146.3461 - output_salary_loss: 0.5424 - output_age_loss: 145.8037 - output_salary_acc: 0.7453 - output_age_mean_squared_error: 145.8037
17632/24129 [====================>.........] - ETA: 1s - loss: 146.2643 - output_salary_loss: 0.5426 - output_age_loss: 145.7216 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 145.7216
17760/24129 [=====================>........] - ETA: 1s - loss: 146.4093 - output_salary_loss: 0.5426 - output_age_loss: 145.8667 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 145.8667
17888/24129 [=====================>........] - ETA: 1s - loss: 146.4285 - output_salary_loss: 0.5422 - output_age_loss: 145.8863 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 145.8863
17952/24129 [=====================>........] - ETA: 1s - loss: 146.4178 - output_salary_loss: 0.5421 - output_age_loss: 145.8757 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 145.8757
18048/24129 [=====================>........] - ETA: 1s - loss: 146.3498 - output_salary_loss: 0.5416 - output_age_loss: 145.8082 - output_salary_acc: 0.7460 - output_age_mean_squared_error: 145.8082
18176/24129 [=====================>........] - ETA: 1s - loss: 146.3974 - output_salary_loss: 0.5413 - output_age_loss: 145.8561 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 145.8561
18304/24129 [=====================>........] - ETA: 1s - loss: 146.3804 - output_salary_loss: 0.5416 - output_age_loss: 145.8388 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 145.8388
18400/24129 [=====================>........] - ETA: 1s - loss: 146.2747 - output_salary_loss: 0.5417 - output_age_loss: 145.7330 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 145.7330
18528/24129 [======================>.......] - ETA: 1s - loss: 146.3449 - output_salary_loss: 0.5415 - output_age_loss: 145.8034 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 145.8034
18592/24129 [======================>.......] - ETA: 1s - loss: 146.4077 - output_salary_loss: 0.5411 - output_age_loss: 145.8666 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 145.8666
18656/24129 [======================>.......] - ETA: 1s - loss: 146.3216 - output_salary_loss: 0.5413 - output_age_loss: 145.7803 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 145.7803
18976/24129 [======================>.......] - ETA: 1s - loss: 145.9561 - output_salary_loss: 0.5413 - output_age_loss: 145.4148 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 145.4148
19328/24129 [=======================>......] - ETA: 1s - loss: 145.9609 - output_salary_loss: 0.5413 - output_age_loss: 145.4196 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 145.4196
19680/24129 [=======================>......] - ETA: 1s - loss: 145.9288 - output_salary_loss: 0.5407 - output_age_loss: 145.3881 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 145.3881
20000/24129 [=======================>......] - ETA: 0s - loss: 145.8030 - output_salary_loss: 0.5399 - output_age_loss: 145.2630 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 145.2630
20224/24129 [========================>.....] - ETA: 0s - loss: 145.6935 - output_salary_loss: 0.5397 - output_age_loss: 145.1538 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 145.1538
20352/24129 [========================>.....] - ETA: 0s - loss: 145.6923 - output_salary_loss: 0.5397 - output_age_loss: 145.1526 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 145.1526
20480/24129 [========================>.....] - ETA: 0s - loss: 145.5444 - output_salary_loss: 0.5395 - output_age_loss: 145.0049 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 145.0049
20576/24129 [========================>.....] - ETA: 0s - loss: 145.4521 - output_salary_loss: 0.5393 - output_age_loss: 144.9128 - output_salary_acc: 0.7475 - output_age_mean_squared_error: 144.9128
20672/24129 [========================>.....] - ETA: 0s - loss: 145.3358 - output_salary_loss: 0.5394 - output_age_loss: 144.7965 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 144.7965
20736/24129 [========================>.....] - ETA: 0s - loss: 145.4119 - output_salary_loss: 0.5391 - output_age_loss: 144.8727 - output_salary_acc: 0.7477 - output_age_mean_squared_error: 144.8727
20896/24129 [========================>.....] - ETA: 0s - loss: 145.2537 - output_salary_loss: 0.5394 - output_age_loss: 144.7142 - output_salary_acc: 0.7473 - output_age_mean_squared_error: 144.7142
21024/24129 [=========================>....] - ETA: 0s - loss: 145.2056 - output_salary_loss: 0.5396 - output_age_loss: 144.6660 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 144.6660
21120/24129 [=========================>....] - ETA: 0s - loss: 145.3302 - output_salary_loss: 0.5396 - output_age_loss: 144.7906 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 144.7906
21248/24129 [=========================>....] - ETA: 0s - loss: 145.2315 - output_salary_loss: 0.5398 - output_age_loss: 144.6917 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 144.6917
21376/24129 [=========================>....] - ETA: 0s - loss: 145.2854 - output_salary_loss: 0.5402 - output_age_loss: 144.7452 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 144.7452
21472/24129 [=========================>....] - ETA: 0s - loss: 145.1729 - output_salary_loss: 0.5401 - output_age_loss: 144.6328 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 144.6328
21568/24129 [=========================>....] - ETA: 0s - loss: 145.1066 - output_salary_loss: 0.5402 - output_age_loss: 144.5664 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 144.5664
21696/24129 [=========================>....] - ETA: 0s - loss: 145.4603 - output_salary_loss: 0.5402 - output_age_loss: 144.9201 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 144.9201
21792/24129 [==========================>...] - ETA: 0s - loss: 145.4697 - output_salary_loss: 0.5400 - output_age_loss: 144.9297 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 144.9297
21888/24129 [==========================>...] - ETA: 0s - loss: 145.5364 - output_salary_loss: 0.5403 - output_age_loss: 144.9961 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 144.9961
22144/24129 [==========================>...] - ETA: 0s - loss: 145.2691 - output_salary_loss: 0.5405 - output_age_loss: 144.7285 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 144.7285
22304/24129 [==========================>...] - ETA: 0s - loss: 145.2486 - output_salary_loss: 0.5405 - output_age_loss: 144.7081 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 144.7081
22368/24129 [==========================>...] - ETA: 0s - loss: 145.1714 - output_salary_loss: 0.5403 - output_age_loss: 144.6311 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 144.6311
22496/24129 [==========================>...] - ETA: 0s - loss: 144.9272 - output_salary_loss: 0.5399 - output_age_loss: 144.3873 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 144.3873
22592/24129 [===========================>..] - ETA: 0s - loss: 144.8133 - output_salary_loss: 0.5395 - output_age_loss: 144.2738 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 144.2738
22720/24129 [===========================>..] - ETA: 0s - loss: 145.0440 - output_salary_loss: 0.5395 - output_age_loss: 144.5045 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 144.5045
22816/24129 [===========================>..] - ETA: 0s - loss: 144.9939 - output_salary_loss: 0.5395 - output_age_loss: 144.4543 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 144.4543
22944/24129 [===========================>..] - ETA: 0s - loss: 144.9765 - output_salary_loss: 0.5396 - output_age_loss: 144.4369 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 144.4369
23008/24129 [===========================>..] - ETA: 0s - loss: 144.9675 - output_salary_loss: 0.5395 - output_age_loss: 144.4280 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 144.4280
23104/24129 [===========================>..] - ETA: 0s - loss: 144.8607 - output_salary_loss: 0.5394 - output_age_loss: 144.3213 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 144.3213
23232/24129 [===========================>..] - ETA: 0s - loss: 144.6914 - output_salary_loss: 0.5393 - output_age_loss: 144.1521 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 144.1521
23328/24129 [============================>.] - ETA: 0s - loss: 144.6597 - output_salary_loss: 0.5391 - output_age_loss: 144.1206 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 144.1206
23424/24129 [============================>.] - ETA: 0s - loss: 144.9442 - output_salary_loss: 0.5391 - output_age_loss: 144.4052 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 144.4052
23520/24129 [============================>.] - ETA: 0s - loss: 145.0633 - output_salary_loss: 0.5391 - output_age_loss: 144.5242 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 144.5242
23648/24129 [============================>.] - ETA: 0s - loss: 144.9861 - output_salary_loss: 0.5390 - output_age_loss: 144.4471 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 144.4471
23776/24129 [============================>.] - ETA: 0s - loss: 145.1025 - output_salary_loss: 0.5391 - output_age_loss: 144.5634 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 144.5634
23840/24129 [============================>.] - ETA: 0s - loss: 145.2536 - output_salary_loss: 0.5390 - output_age_loss: 144.7145 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 144.7145
23936/24129 [============================>.] - ETA: 0s - loss: 145.3820 - output_salary_loss: 0.5393 - output_age_loss: 144.8427 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 144.8427
24129/24129 [==============================] - 7s 305us/step - loss: 145.5370 - output_salary_loss: 0.5395 - output_age_loss: 144.9975 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 144.9975 - val_loss: 97.9749 - val_output_salary_loss: 0.5270 - val_output_age_loss: 97.4479 - val_output_salary_acc: 0.7446 - val_output_age_mean_squared_error: 97.4479
Epoch 13/20
32/24129 [..............................] - ETA: 10s - loss: 67.1856 - output_salary_loss: 0.4679 - output_age_loss: 66.7177 - output_salary_acc: 0.8125 - output_age_mean_squared_error: 66.7177
192/24129 [..............................] - ETA: 8s - loss: 144.3906 - output_salary_loss: 0.5294 - output_age_loss: 143.8612 - output_salary_acc: 0.7396 - output_age_mean_squared_error: 143.8612
352/24129 [..............................] - ETA: 8s - loss: 155.2912 - output_salary_loss: 0.5556 - output_age_loss: 154.7356 - output_salary_acc: 0.7159 - output_age_mean_squared_error: 154.7356
512/24129 [..............................] - ETA: 8s - loss: 156.4442 - output_salary_loss: 0.5649 - output_age_loss: 155.8794 - output_salary_acc: 0.7129 - output_age_mean_squared_error: 155.8794
768/24129 [..............................] - ETA: 6s - loss: 149.0965 - output_salary_loss: 0.5592 - output_age_loss: 148.5374 - output_salary_acc: 0.7161 - output_age_mean_squared_error: 148.5374
1248/24129 [>.............................] - ETA: 5s - loss: 150.2715 - output_salary_loss: 0.5667 - output_age_loss: 149.7048 - output_salary_acc: 0.7147 - output_age_mean_squared_error: 149.7048
1888/24129 [=>............................] - ETA: 3s - loss: 150.8738 - output_salary_loss: 0.5502 - output_age_loss: 150.3236 - output_salary_acc: 0.7262 - output_age_mean_squared_error: 150.3236
2464/24129 [==>...........................] - ETA: 3s - loss: 154.8827 - output_salary_loss: 0.5427 - output_age_loss: 154.3400 - output_salary_acc: 0.7382 - output_age_mean_squared_error: 154.3400
3104/24129 [==>...........................] - ETA: 2s - loss: 153.0782 - output_salary_loss: 0.5402 - output_age_loss: 152.5381 - output_salary_acc: 0.7394 - output_age_mean_squared_error: 152.5381
3744/24129 [===>..........................] - ETA: 2s - loss: 156.0444 - output_salary_loss: 0.5396 - output_age_loss: 155.5047 - output_salary_acc: 0.7407 - output_age_mean_squared_error: 155.5047
4384/24129 [====>.........................] - ETA: 2s - loss: 153.4986 - output_salary_loss: 0.5364 - output_age_loss: 152.9622 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 152.9622
5056/24129 [=====>........................] - ETA: 2s - loss: 152.1273 - output_salary_loss: 0.5363 - output_age_loss: 151.5910 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 151.5910
5664/24129 [======>.......................] - ETA: 2s - loss: 148.8934 - output_salary_loss: 0.5353 - output_age_loss: 148.3581 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 148.3581
6304/24129 [======>.......................] - ETA: 1s - loss: 148.6815 - output_salary_loss: 0.5360 - output_age_loss: 148.1455 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 148.1455
6912/24129 [=======>......................] - ETA: 1s - loss: 149.2444 - output_salary_loss: 0.5398 - output_age_loss: 148.7046 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 148.7046
7520/24129 [========>.....................] - ETA: 1s - loss: 149.2067 - output_salary_loss: 0.5416 - output_age_loss: 148.6652 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 148.6652
8160/24129 [=========>....................] - ETA: 1s - loss: 148.2292 - output_salary_loss: 0.5429 - output_age_loss: 147.6863 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 147.6863
8736/24129 [=========>....................] - ETA: 1s - loss: 148.0379 - output_salary_loss: 0.5454 - output_age_loss: 147.4924 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 147.4924
9376/24129 [==========>...................] - ETA: 1s - loss: 147.2347 - output_salary_loss: 0.5441 - output_age_loss: 146.6906 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 146.6906
9920/24129 [===========>..................] - ETA: 1s - loss: 145.7443 - output_salary_loss: 0.5441 - output_age_loss: 145.2001 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 145.2001
10080/24129 [===========>..................] - ETA: 1s - loss: 145.7290 - output_salary_loss: 0.5439 - output_age_loss: 145.1851 - output_salary_acc: 0.7460 - output_age_mean_squared_error: 145.1851
10208/24129 [===========>..................] - ETA: 1s - loss: 145.6369 - output_salary_loss: 0.5441 - output_age_loss: 145.0928 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 145.0928
10336/24129 [===========>..................] - ETA: 1s - loss: 145.3079 - output_salary_loss: 0.5453 - output_age_loss: 144.7626 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 144.7626
10464/24129 [============>.................] - ETA: 1s - loss: 145.1811 - output_salary_loss: 0.5449 - output_age_loss: 144.6362 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 144.6362
10624/24129 [============>.................] - ETA: 1s - loss: 144.7817 - output_salary_loss: 0.5452 - output_age_loss: 144.2365 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 144.2365
10784/24129 [============>.................] - ETA: 1s - loss: 144.8238 - output_salary_loss: 0.5455 - output_age_loss: 144.2782 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 144.2782
10912/24129 [============>.................] - ETA: 1s - loss: 144.7620 - output_salary_loss: 0.5451 - output_age_loss: 144.2168 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 144.2168
11072/24129 [============>.................] - ETA: 1s - loss: 144.5124 - output_salary_loss: 0.5460 - output_age_loss: 143.9664 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 143.9664
11200/24129 [============>.................] - ETA: 1s - loss: 144.3753 - output_salary_loss: 0.5463 - output_age_loss: 143.8290 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 143.8290
11360/24129 [=============>................] - ETA: 1s - loss: 144.1197 - output_salary_loss: 0.5471 - output_age_loss: 143.5726 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 143.5726
11488/24129 [=============>................] - ETA: 1s - loss: 144.6223 - output_salary_loss: 0.5473 - output_age_loss: 144.0750 - output_salary_acc: 0.7436 - output_age_mean_squared_error: 144.0750
11584/24129 [=============>................] - ETA: 1s - loss: 144.1535 - output_salary_loss: 0.5477 - output_age_loss: 143.6058 - output_salary_acc: 0.7434 - output_age_mean_squared_error: 143.6058
11712/24129 [=============>................] - ETA: 1s - loss: 143.8080 - output_salary_loss: 0.5482 - output_age_loss: 143.2598 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 143.2598
11840/24129 [=============>................] - ETA: 1s - loss: 144.1100 - output_salary_loss: 0.5487 - output_age_loss: 143.5612 - output_salary_acc: 0.7424 - output_age_mean_squared_error: 143.5612
11968/24129 [=============>................] - ETA: 1s - loss: 144.0702 - output_salary_loss: 0.5490 - output_age_loss: 143.5212 - output_salary_acc: 0.7421 - output_age_mean_squared_error: 143.5212
12128/24129 [==============>...............] - ETA: 1s - loss: 144.1536 - output_salary_loss: 0.5486 - output_age_loss: 143.6049 - output_salary_acc: 0.7422 - output_age_mean_squared_error: 143.6049
12256/24129 [==============>...............] - ETA: 1s - loss: 144.2357 - output_salary_loss: 0.5489 - output_age_loss: 143.6868 - output_salary_acc: 0.7418 - output_age_mean_squared_error: 143.6868
12416/24129 [==============>...............] - ETA: 1s - loss: 144.1887 - output_salary_loss: 0.5483 - output_age_loss: 143.6404 - output_salary_acc: 0.7419 - output_age_mean_squared_error: 143.6404
12800/24129 [==============>...............] - ETA: 1s - loss: 144.2322 - output_salary_loss: 0.5493 - output_age_loss: 143.6829 - output_salary_acc: 0.7409 - output_age_mean_squared_error: 143.6829
13344/24129 [===============>..............] - ETA: 1s - loss: 143.9210 - output_salary_loss: 0.5492 - output_age_loss: 143.3718 - output_salary_acc: 0.7408 - output_age_mean_squared_error: 143.3718
13888/24129 [================>.............] - ETA: 1s - loss: 143.7466 - output_salary_loss: 0.5494 - output_age_loss: 143.1972 - output_salary_acc: 0.7404 - output_age_mean_squared_error: 143.1972
14400/24129 [================>.............] - ETA: 1s - loss: 143.4864 - output_salary_loss: 0.5499 - output_age_loss: 142.9365 - output_salary_acc: 0.7403 - output_age_mean_squared_error: 142.9365
14656/24129 [=================>............] - ETA: 1s - loss: 143.3178 - output_salary_loss: 0.5498 - output_age_loss: 142.7680 - output_salary_acc: 0.7405 - output_age_mean_squared_error: 142.7680
14848/24129 [=================>............] - ETA: 1s - loss: 143.3497 - output_salary_loss: 0.5496 - output_age_loss: 142.8001 - output_salary_acc: 0.7406 - output_age_mean_squared_error: 142.8001
15008/24129 [=================>............] - ETA: 1s - loss: 143.3727 - output_salary_loss: 0.5495 - output_age_loss: 142.8232 - output_salary_acc: 0.7410 - output_age_mean_squared_error: 142.8232
15136/24129 [=================>............] - ETA: 1s - loss: 143.3181 - output_salary_loss: 0.5490 - output_age_loss: 142.7692 - output_salary_acc: 0.7414 - output_age_mean_squared_error: 142.7692
15264/24129 [=================>............] - ETA: 1s - loss: 143.5439 - output_salary_loss: 0.5495 - output_age_loss: 142.9945 - output_salary_acc: 0.7409 - output_age_mean_squared_error: 142.9945
15392/24129 [==================>...........] - ETA: 1s - loss: 143.6872 - output_salary_loss: 0.5496 - output_age_loss: 143.1377 - output_salary_acc: 0.7408 - output_age_mean_squared_error: 143.1377
15520/24129 [==================>...........] - ETA: 1s - loss: 143.8290 - output_salary_loss: 0.5497 - output_age_loss: 143.2793 - output_salary_acc: 0.7405 - output_age_mean_squared_error: 143.2793
15616/24129 [==================>...........] - ETA: 1s - loss: 144.1677 - output_salary_loss: 0.5500 - output_age_loss: 143.6176 - output_salary_acc: 0.7403 - output_age_mean_squared_error: 143.6176
15744/24129 [==================>...........] - ETA: 1s - loss: 144.0253 - output_salary_loss: 0.5499 - output_age_loss: 143.4753 - output_salary_acc: 0.7403 - output_age_mean_squared_error: 143.4753
15840/24129 [==================>...........] - ETA: 1s - loss: 143.9977 - output_salary_loss: 0.5502 - output_age_loss: 143.4475 - output_salary_acc: 0.7401 - output_age_mean_squared_error: 143.4475
15904/24129 [==================>...........] - ETA: 1s - loss: 143.9883 - output_salary_loss: 0.5504 - output_age_loss: 143.4379 - output_salary_acc: 0.7398 - output_age_mean_squared_error: 143.4379
15968/24129 [==================>...........] - ETA: 1s - loss: 144.1263 - output_salary_loss: 0.5506 - output_age_loss: 143.5758 - output_salary_acc: 0.7397 - output_age_mean_squared_error: 143.5758
16032/24129 [==================>...........] - ETA: 1s - loss: 143.9885 - output_salary_loss: 0.5503 - output_age_loss: 143.4382 - output_salary_acc: 0.7400 - output_age_mean_squared_error: 143.4382
16096/24129 [===================>..........] - ETA: 1s - loss: 144.1030 - output_salary_loss: 0.5499 - output_age_loss: 143.5531 - output_salary_acc: 0.7404 - output_age_mean_squared_error: 143.5531
16192/24129 [===================>..........] - ETA: 1s - loss: 144.1165 - output_salary_loss: 0.5498 - output_age_loss: 143.5667 - output_salary_acc: 0.7404 - output_age_mean_squared_error: 143.5667
16256/24129 [===================>..........] - ETA: 1s - loss: 144.1237 - output_salary_loss: 0.5497 - output_age_loss: 143.5740 - output_salary_acc: 0.7405 - output_age_mean_squared_error: 143.5740
16320/24129 [===================>..........] - ETA: 1s - loss: 144.0023 - output_salary_loss: 0.5496 - output_age_loss: 143.4527 - output_salary_acc: 0.7405 - output_age_mean_squared_error: 143.4527
16512/24129 [===================>..........] - ETA: 1s - loss: 144.1271 - output_salary_loss: 0.5501 - output_age_loss: 143.5770 - output_salary_acc: 0.7398 - output_age_mean_squared_error: 143.5770
16640/24129 [===================>..........] - ETA: 1s - loss: 144.1929 - output_salary_loss: 0.5502 - output_age_loss: 143.6428 - output_salary_acc: 0.7395 - output_age_mean_squared_error: 143.6428
16736/24129 [===================>..........] - ETA: 1s - loss: 144.0001 - output_salary_loss: 0.5502 - output_age_loss: 143.4499 - output_salary_acc: 0.7395 - output_age_mean_squared_error: 143.4499
16800/24129 [===================>..........] - ETA: 1s - loss: 144.0798 - output_salary_loss: 0.5499 - output_age_loss: 143.5299 - output_salary_acc: 0.7397 - output_age_mean_squared_error: 143.5299
16928/24129 [====================>.........] - ETA: 1s - loss: 144.1172 - output_salary_loss: 0.5502 - output_age_loss: 143.5671 - output_salary_acc: 0.7394 - output_age_mean_squared_error: 143.5671
17056/24129 [====================>.........] - ETA: 1s - loss: 144.1042 - output_salary_loss: 0.5502 - output_age_loss: 143.5540 - output_salary_acc: 0.7396 - output_age_mean_squared_error: 143.5540
17152/24129 [====================>.........] - ETA: 1s - loss: 144.1969 - output_salary_loss: 0.5502 - output_age_loss: 143.6467 - output_salary_acc: 0.7396 - output_age_mean_squared_error: 143.6467
17248/24129 [====================>.........] - ETA: 1s - loss: 143.9970 - output_salary_loss: 0.5499 - output_age_loss: 143.4471 - output_salary_acc: 0.7397 - output_age_mean_squared_error: 143.4471
17376/24129 [====================>.........] - ETA: 1s - loss: 144.1012 - output_salary_loss: 0.5498 - output_age_loss: 143.5514 - output_salary_acc: 0.7399 - output_age_mean_squared_error: 143.5514
17504/24129 [====================>.........] - ETA: 1s - loss: 144.0919 - output_salary_loss: 0.5495 - output_age_loss: 143.5424 - output_salary_acc: 0.7402 - output_age_mean_squared_error: 143.5424
17600/24129 [====================>.........] - ETA: 1s - loss: 143.8618 - output_salary_loss: 0.5497 - output_age_loss: 143.3122 - output_salary_acc: 0.7402 - output_age_mean_squared_error: 143.3122
17696/24129 [=====================>........] - ETA: 1s - loss: 143.8679 - output_salary_loss: 0.5496 - output_age_loss: 143.3183 - output_salary_acc: 0.7402 - output_age_mean_squared_error: 143.3183
17824/24129 [=====================>........] - ETA: 1s - loss: 144.0081 - output_salary_loss: 0.5492 - output_age_loss: 143.4589 - output_salary_acc: 0.7406 - output_age_mean_squared_error: 143.4589
17920/24129 [=====================>........] - ETA: 1s - loss: 143.9010 - output_salary_loss: 0.5495 - output_age_loss: 143.3515 - output_salary_acc: 0.7403 - output_age_mean_squared_error: 143.3515
18016/24129 [=====================>........] - ETA: 1s - loss: 144.0356 - output_salary_loss: 0.5494 - output_age_loss: 143.4862 - output_salary_acc: 0.7405 - output_age_mean_squared_error: 143.4862
18144/24129 [=====================>........] - ETA: 1s - loss: 143.9922 - output_salary_loss: 0.5492 - output_age_loss: 143.4429 - output_salary_acc: 0.7406 - output_age_mean_squared_error: 143.4429
18272/24129 [=====================>........] - ETA: 1s - loss: 143.8762 - output_salary_loss: 0.5490 - output_age_loss: 143.3272 - output_salary_acc: 0.7408 - output_age_mean_squared_error: 143.3272
18400/24129 [=====================>........] - ETA: 1s - loss: 144.0537 - output_salary_loss: 0.5492 - output_age_loss: 143.5046 - output_salary_acc: 0.7407 - output_age_mean_squared_error: 143.5046
18752/24129 [======================>.......] - ETA: 1s - loss: 143.8088 - output_salary_loss: 0.5489 - output_age_loss: 143.2599 - output_salary_acc: 0.7407 - output_age_mean_squared_error: 143.2599
18880/24129 [======================>.......] - ETA: 1s - loss: 143.5865 - output_salary_loss: 0.5490 - output_age_loss: 143.0375 - output_salary_acc: 0.7406 - output_age_mean_squared_error: 143.0375
19008/24129 [======================>.......] - ETA: 1s - loss: 143.8135 - output_salary_loss: 0.5487 - output_age_loss: 143.2648 - output_salary_acc: 0.7409 - output_age_mean_squared_error: 143.2648
19104/24129 [======================>.......] - ETA: 1s - loss: 143.8991 - output_salary_loss: 0.5481 - output_age_loss: 143.3510 - output_salary_acc: 0.7414 - output_age_mean_squared_error: 143.3510
19200/24129 [======================>.......] - ETA: 1s - loss: 143.7099 - output_salary_loss: 0.5479 - output_age_loss: 143.1620 - output_salary_acc: 0.7415 - output_age_mean_squared_error: 143.1620
19296/24129 [======================>.......] - ETA: 1s - loss: 143.5020 - output_salary_loss: 0.5475 - output_age_loss: 142.9544 - output_salary_acc: 0.7417 - output_age_mean_squared_error: 142.9544
19360/24129 [=======================>......] - ETA: 1s - loss: 143.4743 - output_salary_loss: 0.5475 - output_age_loss: 142.9268 - output_salary_acc: 0.7417 - output_age_mean_squared_error: 142.9268
19520/24129 [=======================>......] - ETA: 1s - loss: 143.5280 - output_salary_loss: 0.5473 - output_age_loss: 142.9808 - output_salary_acc: 0.7419 - output_age_mean_squared_error: 142.9808
19648/24129 [=======================>......] - ETA: 1s - loss: 143.5248 - output_salary_loss: 0.5473 - output_age_loss: 142.9776 - output_salary_acc: 0.7419 - output_age_mean_squared_error: 142.9776
19744/24129 [=======================>......] - ETA: 1s - loss: 143.3635 - output_salary_loss: 0.5473 - output_age_loss: 142.8162 - output_salary_acc: 0.7418 - output_age_mean_squared_error: 142.8162
19872/24129 [=======================>......] - ETA: 1s - loss: 143.2705 - output_salary_loss: 0.5472 - output_age_loss: 142.7233 - output_salary_acc: 0.7416 - output_age_mean_squared_error: 142.7233
20000/24129 [=======================>......] - ETA: 1s - loss: 143.3642 - output_salary_loss: 0.5470 - output_age_loss: 142.8173 - output_salary_acc: 0.7418 - output_age_mean_squared_error: 142.8173
20096/24129 [=======================>......] - ETA: 1s - loss: 143.5321 - output_salary_loss: 0.5466 - output_age_loss: 142.9854 - output_salary_acc: 0.7420 - output_age_mean_squared_error: 142.9854
20224/24129 [========================>.....] - ETA: 1s - loss: 143.5827 - output_salary_loss: 0.5464 - output_age_loss: 143.0363 - output_salary_acc: 0.7421 - output_age_mean_squared_error: 143.0363
20352/24129 [========================>.....] - ETA: 0s - loss: 143.5094 - output_salary_loss: 0.5462 - output_age_loss: 142.9632 - output_salary_acc: 0.7422 - output_age_mean_squared_error: 142.9632
20416/24129 [========================>.....] - ETA: 0s - loss: 143.5264 - output_salary_loss: 0.5461 - output_age_loss: 142.9802 - output_salary_acc: 0.7422 - output_age_mean_squared_error: 142.9802
20704/24129 [========================>.....] - ETA: 0s - loss: 143.6854 - output_salary_loss: 0.5453 - output_age_loss: 143.1401 - output_salary_acc: 0.7428 - output_age_mean_squared_error: 143.1401
20928/24129 [=========================>....] - ETA: 0s - loss: 143.5834 - output_salary_loss: 0.5451 - output_age_loss: 143.0384 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 143.0384
21024/24129 [=========================>....] - ETA: 0s - loss: 143.7199 - output_salary_loss: 0.5448 - output_age_loss: 143.1751 - output_salary_acc: 0.7432 - output_age_mean_squared_error: 143.1751
21120/24129 [=========================>....] - ETA: 0s - loss: 143.7367 - output_salary_loss: 0.5445 - output_age_loss: 143.1922 - output_salary_acc: 0.7436 - output_age_mean_squared_error: 143.1922
21248/24129 [=========================>....] - ETA: 0s - loss: 143.7444 - output_salary_loss: 0.5446 - output_age_loss: 143.1997 - output_salary_acc: 0.7436 - output_age_mean_squared_error: 143.1997
21312/24129 [=========================>....] - ETA: 0s - loss: 143.7614 - output_salary_loss: 0.5449 - output_age_loss: 143.2165 - output_salary_acc: 0.7434 - output_age_mean_squared_error: 143.2165
21408/24129 [=========================>....] - ETA: 0s - loss: 143.7424 - output_salary_loss: 0.5447 - output_age_loss: 143.1977 - output_salary_acc: 0.7436 - output_age_mean_squared_error: 143.1977
21536/24129 [=========================>....] - ETA: 0s - loss: 143.7063 - output_salary_loss: 0.5446 - output_age_loss: 143.1617 - output_salary_acc: 0.7437 - output_age_mean_squared_error: 143.1617
21632/24129 [=========================>....] - ETA: 0s - loss: 143.5019 - output_salary_loss: 0.5449 - output_age_loss: 142.9569 - output_salary_acc: 0.7435 - output_age_mean_squared_error: 142.9569
21696/24129 [=========================>....] - ETA: 0s - loss: 143.4058 - output_salary_loss: 0.5449 - output_age_loss: 142.8608 - output_salary_acc: 0.7435 - output_age_mean_squared_error: 142.8608
21824/24129 [==========================>...] - ETA: 0s - loss: 143.1633 - output_salary_loss: 0.5445 - output_age_loss: 142.6188 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 142.6188
21952/24129 [==========================>...] - ETA: 0s - loss: 143.2363 - output_salary_loss: 0.5443 - output_age_loss: 142.6920 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 142.6920
22016/24129 [==========================>...] - ETA: 0s - loss: 143.2721 - output_salary_loss: 0.5443 - output_age_loss: 142.7278 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 142.7278
22144/24129 [==========================>...] - ETA: 0s - loss: 143.1864 - output_salary_loss: 0.5441 - output_age_loss: 142.6423 - output_salary_acc: 0.7440 - output_age_mean_squared_error: 142.6423
22240/24129 [==========================>...] - ETA: 0s - loss: 143.1370 - output_salary_loss: 0.5443 - output_age_loss: 142.5928 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 142.5928
22272/24129 [==========================>...] - ETA: 0s - loss: 143.1664 - output_salary_loss: 0.5442 - output_age_loss: 142.6222 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 142.6222
22400/24129 [==========================>...] - ETA: 0s - loss: 143.0462 - output_salary_loss: 0.5440 - output_age_loss: 142.5022 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 142.5022
22528/24129 [===========================>..] - ETA: 0s - loss: 142.9780 - output_salary_loss: 0.5440 - output_age_loss: 142.4341 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 142.4341
22656/24129 [===========================>..] - ETA: 0s - loss: 142.8394 - output_salary_loss: 0.5438 - output_age_loss: 142.2956 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 142.2956
22784/24129 [===========================>..] - ETA: 0s - loss: 142.9262 - output_salary_loss: 0.5440 - output_age_loss: 142.3822 - output_salary_acc: 0.7437 - output_age_mean_squared_error: 142.3822
22880/24129 [===========================>..] - ETA: 0s - loss: 142.9451 - output_salary_loss: 0.5440 - output_age_loss: 142.4012 - output_salary_acc: 0.7435 - output_age_mean_squared_error: 142.4012
22976/24129 [===========================>..] - ETA: 0s - loss: 143.0907 - output_salary_loss: 0.5438 - output_age_loss: 142.5469 - output_salary_acc: 0.7437 - output_age_mean_squared_error: 142.5469
23104/24129 [===========================>..] - ETA: 0s - loss: 142.9216 - output_salary_loss: 0.5437 - output_age_loss: 142.3779 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 142.3779
23168/24129 [===========================>..] - ETA: 0s - loss: 142.8827 - output_salary_loss: 0.5436 - output_age_loss: 142.3391 - output_salary_acc: 0.7440 - output_age_mean_squared_error: 142.3391
23264/24129 [===========================>..] - ETA: 0s - loss: 142.9697 - output_salary_loss: 0.5433 - output_age_loss: 142.4264 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 142.4264
23392/24129 [============================>.] - ETA: 0s - loss: 142.9792 - output_salary_loss: 0.5434 - output_age_loss: 142.4357 - output_salary_acc: 0.7440 - output_age_mean_squared_error: 142.4357
23520/24129 [============================>.] - ETA: 0s - loss: 142.9574 - output_salary_loss: 0.5429 - output_age_loss: 142.4145 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 142.4145
23616/24129 [============================>.] - ETA: 0s - loss: 143.0080 - output_salary_loss: 0.5430 - output_age_loss: 142.4650 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 142.4650
23712/24129 [============================>.] - ETA: 0s - loss: 142.7901 - output_salary_loss: 0.5429 - output_age_loss: 142.2471 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 142.2471
23808/24129 [============================>.] - ETA: 0s - loss: 142.7606 - output_salary_loss: 0.5427 - output_age_loss: 142.2178 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 142.2178
23936/24129 [============================>.] - ETA: 0s - loss: 142.5290 - output_salary_loss: 0.5427 - output_age_loss: 141.9863 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 141.9863
24032/24129 [============================>.] - ETA: 0s - loss: 142.5544 - output_salary_loss: 0.5427 - output_age_loss: 142.0117 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 142.0117
24128/24129 [============================>.] - ETA: 0s - loss: 142.4340 - output_salary_loss: 0.5427 - output_age_loss: 141.8912 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 141.8912
24129/24129 [==============================] - 8s 337us/step - loss: 142.4326 - output_salary_loss: 0.5427 - output_age_loss: 141.8899 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 141.8899 - val_loss: 102.4111 - val_output_salary_loss: 0.5260 - val_output_age_loss: 101.8851 - val_output_salary_acc: 0.7441 - val_output_age_mean_squared_error: 101.8851
Epoch 14/20
32/24129 [..............................] - ETA: 11s - loss: 151.0845 - output_salary_loss: 0.5266 - output_age_loss: 150.5578 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 150.5578
192/24129 [..............................] - ETA: 9s - loss: 125.4588 - output_salary_loss: 0.5055 - output_age_loss: 124.9533 - output_salary_acc: 0.7708 - output_age_mean_squared_error: 124.9533
320/24129 [..............................] - ETA: 9s - loss: 126.3713 - output_salary_loss: 0.4919 - output_age_loss: 125.8794 - output_salary_acc: 0.7875 - output_age_mean_squared_error: 125.8794
448/24129 [..............................] - ETA: 10s - loss: 138.0103 - output_salary_loss: 0.5299 - output_age_loss: 137.4804 - output_salary_acc: 0.7545 - output_age_mean_squared_error: 137.4804
544/24129 [..............................] - ETA: 10s - loss: 143.1201 - output_salary_loss: 0.5322 - output_age_loss: 142.5879 - output_salary_acc: 0.7518 - output_age_mean_squared_error: 142.5879
640/24129 [..............................] - ETA: 10s - loss: 143.2164 - output_salary_loss: 0.5501 - output_age_loss: 142.6663 - output_salary_acc: 0.7297 - output_age_mean_squared_error: 142.6663
1120/24129 [>.............................] - ETA: 7s - loss: 147.2600 - output_salary_loss: 0.5428 - output_age_loss: 146.7172 - output_salary_acc: 0.7393 - output_age_mean_squared_error: 146.7172
1504/24129 [>.............................] - ETA: 6s - loss: 151.6139 - output_salary_loss: 0.5459 - output_age_loss: 151.0680 - output_salary_acc: 0.7400 - output_age_mean_squared_error: 151.0680
1568/24129 [>.............................] - ETA: 6s - loss: 151.0718 - output_salary_loss: 0.5475 - output_age_loss: 150.5243 - output_salary_acc: 0.7392 - output_age_mean_squared_error: 150.5243
1728/24129 [=>............................] - ETA: 6s - loss: 147.4661 - output_salary_loss: 0.5485 - output_age_loss: 146.9176 - output_salary_acc: 0.7390 - output_age_mean_squared_error: 146.9176
1888/24129 [=>............................] - ETA: 6s - loss: 146.2922 - output_salary_loss: 0.5472 - output_age_loss: 145.7450 - output_salary_acc: 0.7394 - output_age_mean_squared_error: 145.7450
2048/24129 [=>............................] - ETA: 6s - loss: 148.1158 - output_salary_loss: 0.5439 - output_age_loss: 147.5719 - output_salary_acc: 0.7422 - output_age_mean_squared_error: 147.5719
2208/24129 [=>............................] - ETA: 6s - loss: 147.1624 - output_salary_loss: 0.5404 - output_age_loss: 146.6221 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 146.6221
2400/24129 [=>............................] - ETA: 6s - loss: 146.1757 - output_salary_loss: 0.5409 - output_age_loss: 145.6349 - output_salary_acc: 0.7429 - output_age_mean_squared_error: 145.6349
2560/24129 [==>...........................] - ETA: 6s - loss: 145.9711 - output_salary_loss: 0.5416 - output_age_loss: 145.4295 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 145.4295
2720/24129 [==>...........................] - ETA: 6s - loss: 144.7238 - output_salary_loss: 0.5371 - output_age_loss: 144.1867 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 144.1867
2880/24129 [==>...........................] - ETA: 6s - loss: 143.4318 - output_salary_loss: 0.5358 - output_age_loss: 142.8960 - output_salary_acc: 0.7476 - output_age_mean_squared_error: 142.8960
3008/24129 [==>...........................] - ETA: 6s - loss: 142.4798 - output_salary_loss: 0.5347 - output_age_loss: 141.9451 - output_salary_acc: 0.7483 - output_age_mean_squared_error: 141.9451
3168/24129 [==>...........................] - ETA: 6s - loss: 141.6757 - output_salary_loss: 0.5311 - output_age_loss: 141.1446 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 141.1446
3296/24129 [===>..........................] - ETA: 6s - loss: 142.5285 - output_salary_loss: 0.5302 - output_age_loss: 141.9984 - output_salary_acc: 0.7518 - output_age_mean_squared_error: 141.9984
3424/24129 [===>..........................] - ETA: 6s - loss: 141.9925 - output_salary_loss: 0.5312 - output_age_loss: 141.4613 - output_salary_acc: 0.7509 - output_age_mean_squared_error: 141.4613
3552/24129 [===>..........................] - ETA: 6s - loss: 142.9850 - output_salary_loss: 0.5300 - output_age_loss: 142.4551 - output_salary_acc: 0.7514 - output_age_mean_squared_error: 142.4551
3680/24129 [===>..........................] - ETA: 6s - loss: 143.5022 - output_salary_loss: 0.5309 - output_age_loss: 142.9713 - output_salary_acc: 0.7492 - output_age_mean_squared_error: 142.9713
3840/24129 [===>..........................] - ETA: 6s - loss: 142.6446 - output_salary_loss: 0.5324 - output_age_loss: 142.1122 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 142.1122
4000/24129 [===>..........................] - ETA: 6s - loss: 143.2364 - output_salary_loss: 0.5307 - output_age_loss: 142.7057 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 142.7057
4192/24129 [====>.........................] - ETA: 6s - loss: 144.1366 - output_salary_loss: 0.5305 - output_age_loss: 143.6061 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 143.6061
4544/24129 [====>.........................] - ETA: 6s - loss: 143.0703 - output_salary_loss: 0.5347 - output_age_loss: 142.5356 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 142.5356
4704/24129 [====>.........................] - ETA: 6s - loss: 143.1254 - output_salary_loss: 0.5323 - output_age_loss: 142.5931 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 142.5931
4832/24129 [=====>........................] - ETA: 6s - loss: 143.1943 - output_salary_loss: 0.5315 - output_age_loss: 142.6628 - output_salary_acc: 0.7481 - output_age_mean_squared_error: 142.6628
4928/24129 [=====>........................] - ETA: 6s - loss: 142.9227 - output_salary_loss: 0.5327 - output_age_loss: 142.3900 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 142.3900
5024/24129 [=====>........................] - ETA: 6s - loss: 142.3930 - output_salary_loss: 0.5345 - output_age_loss: 141.8585 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 141.8585
5120/24129 [=====>........................] - ETA: 6s - loss: 143.0474 - output_salary_loss: 0.5350 - output_age_loss: 142.5124 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 142.5124
5216/24129 [=====>........................] - ETA: 6s - loss: 142.9830 - output_salary_loss: 0.5356 - output_age_loss: 142.4474 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 142.4474
5280/24129 [=====>........................] - ETA: 6s - loss: 142.8149 - output_salary_loss: 0.5357 - output_age_loss: 142.2792 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 142.2792
5408/24129 [=====>........................] - ETA: 6s - loss: 141.9760 - output_salary_loss: 0.5347 - output_age_loss: 141.4412 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 141.4412
5536/24129 [=====>........................] - ETA: 6s - loss: 142.8345 - output_salary_loss: 0.5342 - output_age_loss: 142.3003 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 142.3003
5632/24129 [======>.......................] - ETA: 6s - loss: 142.3065 - output_salary_loss: 0.5327 - output_age_loss: 141.7738 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 141.7738
5728/24129 [======>.......................] - ETA: 6s - loss: 143.0413 - output_salary_loss: 0.5312 - output_age_loss: 142.5101 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 142.5101
5824/24129 [======>.......................] - ETA: 6s - loss: 143.0062 - output_salary_loss: 0.5321 - output_age_loss: 142.4741 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 142.4741
5952/24129 [======>.......................] - ETA: 6s - loss: 143.6941 - output_salary_loss: 0.5313 - output_age_loss: 143.1628 - output_salary_acc: 0.7475 - output_age_mean_squared_error: 143.1628
6048/24129 [======>.......................] - ETA: 6s - loss: 143.5746 - output_salary_loss: 0.5319 - output_age_loss: 143.0427 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 143.0427
6144/24129 [======>.......................] - ETA: 6s - loss: 144.1054 - output_salary_loss: 0.5317 - output_age_loss: 143.5737 - output_salary_acc: 0.7477 - output_age_mean_squared_error: 143.5737
6272/24129 [======>.......................] - ETA: 6s - loss: 143.6747 - output_salary_loss: 0.5320 - output_age_loss: 143.1427 - output_salary_acc: 0.7473 - output_age_mean_squared_error: 143.1427
6368/24129 [======>.......................] - ETA: 6s - loss: 143.6868 - output_salary_loss: 0.5319 - output_age_loss: 143.1549 - output_salary_acc: 0.7475 - output_age_mean_squared_error: 143.1549
6560/24129 [=======>......................] - ETA: 6s - loss: 144.2063 - output_salary_loss: 0.5308 - output_age_loss: 143.6755 - output_salary_acc: 0.7482 - output_age_mean_squared_error: 143.6755
6976/24129 [=======>......................] - ETA: 6s - loss: 144.4412 - output_salary_loss: 0.5300 - output_age_loss: 143.9112 - output_salary_acc: 0.7490 - output_age_mean_squared_error: 143.9112
7552/24129 [========>.....................] - ETA: 5s - loss: 143.6760 - output_salary_loss: 0.5282 - output_age_loss: 143.1478 - output_salary_acc: 0.7507 - output_age_mean_squared_error: 143.1478
8192/24129 [=========>....................] - ETA: 5s - loss: 143.8461 - output_salary_loss: 0.5297 - output_age_loss: 143.3164 - output_salary_acc: 0.7496 - output_age_mean_squared_error: 143.3164
8736/24129 [=========>....................] - ETA: 4s - loss: 143.9802 - output_salary_loss: 0.5280 - output_age_loss: 143.4522 - output_salary_acc: 0.7508 - output_age_mean_squared_error: 143.4522
9344/24129 [==========>...................] - ETA: 4s - loss: 144.1202 - output_salary_loss: 0.5306 - output_age_loss: 143.5896 - output_salary_acc: 0.7496 - output_age_mean_squared_error: 143.5896
9984/24129 [===========>..................] - ETA: 4s - loss: 143.8339 - output_salary_loss: 0.5315 - output_age_loss: 143.3024 - output_salary_acc: 0.7482 - output_age_mean_squared_error: 143.3024
10624/24129 [============>.................] - ETA: 3s - loss: 144.3259 - output_salary_loss: 0.5306 - output_age_loss: 143.7953 - output_salary_acc: 0.7486 - output_age_mean_squared_error: 143.7953
11264/24129 [=============>................] - ETA: 3s - loss: 144.7240 - output_salary_loss: 0.5311 - output_age_loss: 144.1928 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 144.1928
11904/24129 [=============>................] - ETA: 3s - loss: 144.7080 - output_salary_loss: 0.5327 - output_age_loss: 144.1753 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 144.1753
12512/24129 [==============>...............] - ETA: 2s - loss: 143.8557 - output_salary_loss: 0.5346 - output_age_loss: 143.3210 - output_salary_acc: 0.7448 - output_age_mean_squared_error: 143.3210
13152/24129 [===============>..............] - ETA: 2s - loss: 143.3474 - output_salary_loss: 0.5335 - output_age_loss: 142.8140 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 142.8140
13728/24129 [================>.............] - ETA: 2s - loss: 143.1470 - output_salary_loss: 0.5343 - output_age_loss: 142.6128 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 142.6128
14400/24129 [================>.............] - ETA: 2s - loss: 142.4587 - output_salary_loss: 0.5335 - output_age_loss: 141.9252 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 141.9252
15008/24129 [=================>............] - ETA: 1s - loss: 141.4845 - output_salary_loss: 0.5337 - output_age_loss: 140.9508 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 140.9508
15424/24129 [==================>...........] - ETA: 1s - loss: 141.4896 - output_salary_loss: 0.5332 - output_age_loss: 140.9564 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 140.9564
15936/24129 [==================>...........] - ETA: 1s - loss: 141.3982 - output_salary_loss: 0.5339 - output_age_loss: 140.8643 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 140.8643
16384/24129 [===================>..........] - ETA: 1s - loss: 141.3492 - output_salary_loss: 0.5329 - output_age_loss: 140.8163 - output_salary_acc: 0.7448 - output_age_mean_squared_error: 140.8163
16800/24129 [===================>..........] - ETA: 1s - loss: 141.1790 - output_salary_loss: 0.5339 - output_age_loss: 140.6450 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 140.6450
17248/24129 [====================>.........] - ETA: 1s - loss: 141.1329 - output_salary_loss: 0.5335 - output_age_loss: 140.5994 - output_salary_acc: 0.7448 - output_age_mean_squared_error: 140.5994
17408/24129 [====================>.........] - ETA: 1s - loss: 141.4422 - output_salary_loss: 0.5332 - output_age_loss: 140.9090 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 140.9090
17536/24129 [====================>.........] - ETA: 1s - loss: 141.2068 - output_salary_loss: 0.5332 - output_age_loss: 140.6735 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 140.6735
17632/24129 [====================>.........] - ETA: 1s - loss: 141.0108 - output_salary_loss: 0.5333 - output_age_loss: 140.4775 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 140.4775
17728/24129 [=====================>........] - ETA: 1s - loss: 141.1056 - output_salary_loss: 0.5332 - output_age_loss: 140.5724 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 140.5724
17824/24129 [=====================>........] - ETA: 1s - loss: 141.0388 - output_salary_loss: 0.5330 - output_age_loss: 140.5058 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 140.5058
17984/24129 [=====================>........] - ETA: 1s - loss: 141.0428 - output_salary_loss: 0.5334 - output_age_loss: 140.5094 - output_salary_acc: 0.7448 - output_age_mean_squared_error: 140.5094
18048/24129 [=====================>........] - ETA: 1s - loss: 141.0082 - output_salary_loss: 0.5334 - output_age_loss: 140.4748 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 140.4748
18176/24129 [=====================>........] - ETA: 1s - loss: 140.8032 - output_salary_loss: 0.5334 - output_age_loss: 140.2698 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 140.2698
18304/24129 [=====================>........] - ETA: 1s - loss: 140.8259 - output_salary_loss: 0.5331 - output_age_loss: 140.2927 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 140.2927
18368/24129 [=====================>........] - ETA: 1s - loss: 140.7093 - output_salary_loss: 0.5334 - output_age_loss: 140.1759 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 140.1759
18464/24129 [=====================>........] - ETA: 1s - loss: 140.8269 - output_salary_loss: 0.5333 - output_age_loss: 140.2936 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 140.2936
18624/24129 [======================>.......] - ETA: 1s - loss: 140.7176 - output_salary_loss: 0.5332 - output_age_loss: 140.1844 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 140.1844
18752/24129 [======================>.......] - ETA: 1s - loss: 140.7324 - output_salary_loss: 0.5331 - output_age_loss: 140.1992 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 140.1992
18848/24129 [======================>.......] - ETA: 1s - loss: 140.7647 - output_salary_loss: 0.5327 - output_age_loss: 140.2320 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 140.2320
19008/24129 [======================>.......] - ETA: 1s - loss: 140.7049 - output_salary_loss: 0.5329 - output_age_loss: 140.1720 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 140.1720
19104/24129 [======================>.......] - ETA: 1s - loss: 140.7393 - output_salary_loss: 0.5328 - output_age_loss: 140.2065 - output_salary_acc: 0.7458 - output_age_mean_squared_error: 140.2065
19200/24129 [======================>.......] - ETA: 1s - loss: 140.7670 - output_salary_loss: 0.5327 - output_age_loss: 140.2343 - output_salary_acc: 0.7458 - output_age_mean_squared_error: 140.2343
19424/24129 [=======================>......] - ETA: 1s - loss: 140.4695 - output_salary_loss: 0.5332 - output_age_loss: 139.9363 - output_salary_acc: 0.7453 - output_age_mean_squared_error: 139.9363
19584/24129 [=======================>......] - ETA: 1s - loss: 140.5651 - output_salary_loss: 0.5329 - output_age_loss: 140.0322 - output_salary_acc: 0.7453 - output_age_mean_squared_error: 140.0322
19680/24129 [=======================>......] - ETA: 1s - loss: 140.5539 - output_salary_loss: 0.5329 - output_age_loss: 140.0210 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 140.0210
19808/24129 [=======================>......] - ETA: 1s - loss: 140.4072 - output_salary_loss: 0.5330 - output_age_loss: 139.8742 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 139.8742
19872/24129 [=======================>......] - ETA: 1s - loss: 140.3505 - output_salary_loss: 0.5330 - output_age_loss: 139.8175 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 139.8175
20000/24129 [=======================>......] - ETA: 1s - loss: 140.2719 - output_salary_loss: 0.5330 - output_age_loss: 139.7390 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 139.7390
20160/24129 [========================>.....] - ETA: 0s - loss: 140.2182 - output_salary_loss: 0.5323 - output_age_loss: 139.6859 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 139.6859
20192/24129 [========================>.....] - ETA: 0s - loss: 140.2064 - output_salary_loss: 0.5323 - output_age_loss: 139.6741 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 139.6741
20320/24129 [========================>.....] - ETA: 0s - loss: 140.0154 - output_salary_loss: 0.5328 - output_age_loss: 139.4826 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 139.4826
20416/24129 [========================>.....] - ETA: 0s - loss: 140.1251 - output_salary_loss: 0.5327 - output_age_loss: 139.5924 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 139.5924
20480/24129 [========================>.....] - ETA: 0s - loss: 140.1984 - output_salary_loss: 0.5325 - output_age_loss: 139.6659 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 139.6659
20608/24129 [========================>.....] - ETA: 0s - loss: 140.3457 - output_salary_loss: 0.5326 - output_age_loss: 139.8131 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 139.8131
20736/24129 [========================>.....] - ETA: 0s - loss: 140.3043 - output_salary_loss: 0.5325 - output_age_loss: 139.7719 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 139.7719
20800/24129 [========================>.....] - ETA: 0s - loss: 140.2538 - output_salary_loss: 0.5327 - output_age_loss: 139.7211 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 139.7211
20928/24129 [=========================>....] - ETA: 0s - loss: 140.3719 - output_salary_loss: 0.5325 - output_age_loss: 139.8394 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 139.8394
21088/24129 [=========================>....] - ETA: 0s - loss: 140.2918 - output_salary_loss: 0.5327 - output_age_loss: 139.7591 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 139.7591
21152/24129 [=========================>....] - ETA: 0s - loss: 140.4480 - output_salary_loss: 0.5327 - output_age_loss: 139.9153 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 139.9153
21536/24129 [=========================>....] - ETA: 0s - loss: 140.3911 - output_salary_loss: 0.5330 - output_age_loss: 139.8581 - output_salary_acc: 0.7453 - output_age_mean_squared_error: 139.8581
21888/24129 [==========================>...] - ETA: 0s - loss: 140.3607 - output_salary_loss: 0.5336 - output_age_loss: 139.8271 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 139.8271
22240/24129 [==========================>...] - ETA: 0s - loss: 140.4966 - output_salary_loss: 0.5334 - output_age_loss: 139.9632 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 139.9632
22496/24129 [==========================>...] - ETA: 0s - loss: 140.7803 - output_salary_loss: 0.5334 - output_age_loss: 140.2469 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 140.2469
22592/24129 [===========================>..] - ETA: 0s - loss: 140.7757 - output_salary_loss: 0.5331 - output_age_loss: 140.2425 - output_salary_acc: 0.7453 - output_age_mean_squared_error: 140.2425
22752/24129 [===========================>..] - ETA: 0s - loss: 140.6637 - output_salary_loss: 0.5332 - output_age_loss: 140.1305 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 140.1305
22848/24129 [===========================>..] - ETA: 0s - loss: 140.6107 - output_salary_loss: 0.5333 - output_age_loss: 140.0774 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 140.0774
22976/24129 [===========================>..] - ETA: 0s - loss: 140.7772 - output_salary_loss: 0.5336 - output_age_loss: 140.2436 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 140.2436
23104/24129 [===========================>..] - ETA: 0s - loss: 140.7675 - output_salary_loss: 0.5336 - output_age_loss: 140.2339 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 140.2339
23200/24129 [===========================>..] - ETA: 0s - loss: 140.7291 - output_salary_loss: 0.5334 - output_age_loss: 140.1957 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 140.1957
23360/24129 [============================>.] - ETA: 0s - loss: 140.5095 - output_salary_loss: 0.5331 - output_age_loss: 139.9764 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 139.9764
23488/24129 [============================>.] - ETA: 0s - loss: 140.5448 - output_salary_loss: 0.5327 - output_age_loss: 140.0121 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 140.0121
23552/24129 [============================>.] - ETA: 0s - loss: 140.5930 - output_salary_loss: 0.5327 - output_age_loss: 140.0603 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 140.0603
23680/24129 [============================>.] - ETA: 0s - loss: 140.5187 - output_salary_loss: 0.5328 - output_age_loss: 139.9859 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 139.9859
23808/24129 [============================>.] - ETA: 0s - loss: 140.3170 - output_salary_loss: 0.5324 - output_age_loss: 139.7847 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 139.7847
23904/24129 [============================>.] - ETA: 0s - loss: 140.2633 - output_salary_loss: 0.5320 - output_age_loss: 139.7312 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 139.7312
24032/24129 [============================>.] - ETA: 0s - loss: 140.3287 - output_salary_loss: 0.5319 - output_age_loss: 139.7968 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 139.7968
24129/24129 [==============================] - 7s 303us/step - loss: 140.3421 - output_salary_loss: 0.5319 - output_age_loss: 139.8102 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 139.8102 - val_loss: 95.1690 - val_output_salary_loss: 0.5330 - val_output_age_loss: 94.6360 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 94.6360
Epoch 15/20
32/24129 [..............................] - ETA: 8s - loss: 164.0261 - output_salary_loss: 0.4248 - output_age_loss: 163.6013 - output_salary_acc: 0.8438 - output_age_mean_squared_error: 163.6013
224/24129 [..............................] - ETA: 7s - loss: 155.2984 - output_salary_loss: 0.5059 - output_age_loss: 154.7925 - output_salary_acc: 0.7589 - output_age_mean_squared_error: 154.7925
384/24129 [..............................] - ETA: 7s - loss: 136.1807 - output_salary_loss: 0.5349 - output_age_loss: 135.6458 - output_salary_acc: 0.7396 - output_age_mean_squared_error: 135.6458
544/24129 [..............................] - ETA: 7s - loss: 145.8673 - output_salary_loss: 0.5356 - output_age_loss: 145.3317 - output_salary_acc: 0.7408 - output_age_mean_squared_error: 145.3317
608/24129 [..............................] - ETA: 9s - loss: 146.1187 - output_salary_loss: 0.5393 - output_age_loss: 145.5794 - output_salary_acc: 0.7352 - output_age_mean_squared_error: 145.5794
736/24129 [..............................] - ETA: 9s - loss: 141.6723 - output_salary_loss: 0.5417 - output_age_loss: 141.1306 - output_salary_acc: 0.7323 - output_age_mean_squared_error: 141.1306
864/24129 [>.............................] - ETA: 9s - loss: 135.8674 - output_salary_loss: 0.5478 - output_age_loss: 135.3196 - output_salary_acc: 0.7245 - output_age_mean_squared_error: 135.3196
960/24129 [>.............................] - ETA: 9s - loss: 131.6251 - output_salary_loss: 0.5472 - output_age_loss: 131.0779 - output_salary_acc: 0.7240 - output_age_mean_squared_error: 131.0779
1248/24129 [>.............................] - ETA: 8s - loss: 131.0159 - output_salary_loss: 0.5457 - output_age_loss: 130.4702 - output_salary_acc: 0.7260 - output_age_mean_squared_error: 130.4702
1632/24129 [=>............................] - ETA: 7s - loss: 132.7045 - output_salary_loss: 0.5347 - output_age_loss: 132.1698 - output_salary_acc: 0.7347 - output_age_mean_squared_error: 132.1698
1952/24129 [=>............................] - ETA: 6s - loss: 134.6389 - output_salary_loss: 0.5394 - output_age_loss: 134.0995 - output_salary_acc: 0.7321 - output_age_mean_squared_error: 134.0995
2112/24129 [=>............................] - ETA: 6s - loss: 132.5113 - output_salary_loss: 0.5376 - output_age_loss: 131.9737 - output_salary_acc: 0.7334 - output_age_mean_squared_error: 131.9737
2240/24129 [=>............................] - ETA: 6s - loss: 132.7475 - output_salary_loss: 0.5377 - output_age_loss: 132.2099 - output_salary_acc: 0.7317 - output_age_mean_squared_error: 132.2099
2368/24129 [=>............................] - ETA: 7s - loss: 133.3979 - output_salary_loss: 0.5401 - output_age_loss: 132.8578 - output_salary_acc: 0.7289 - output_age_mean_squared_error: 132.8578
2496/24129 [==>...........................] - ETA: 7s - loss: 134.4718 - output_salary_loss: 0.5416 - output_age_loss: 133.9302 - output_salary_acc: 0.7300 - output_age_mean_squared_error: 133.9302
2560/24129 [==>...........................] - ETA: 7s - loss: 134.4987 - output_salary_loss: 0.5404 - output_age_loss: 133.9582 - output_salary_acc: 0.7316 - output_age_mean_squared_error: 133.9582
2688/24129 [==>...........................] - ETA: 7s - loss: 135.9598 - output_salary_loss: 0.5390 - output_age_loss: 135.4208 - output_salary_acc: 0.7333 - output_age_mean_squared_error: 135.4208
2752/24129 [==>...........................] - ETA: 7s - loss: 135.3988 - output_salary_loss: 0.5383 - output_age_loss: 134.8605 - output_salary_acc: 0.7336 - output_age_mean_squared_error: 134.8605
2880/24129 [==>...........................] - ETA: 7s - loss: 134.2770 - output_salary_loss: 0.5372 - output_age_loss: 133.7398 - output_salary_acc: 0.7344 - output_age_mean_squared_error: 133.7398
2976/24129 [==>...........................] - ETA: 7s - loss: 136.1874 - output_salary_loss: 0.5378 - output_age_loss: 135.6496 - output_salary_acc: 0.7345 - output_age_mean_squared_error: 135.6496
3104/24129 [==>...........................] - ETA: 7s - loss: 138.0481 - output_salary_loss: 0.5360 - output_age_loss: 137.5121 - output_salary_acc: 0.7358 - output_age_mean_squared_error: 137.5121
3232/24129 [===>..........................] - ETA: 7s - loss: 138.5083 - output_salary_loss: 0.5324 - output_age_loss: 137.9759 - output_salary_acc: 0.7392 - output_age_mean_squared_error: 137.9759
3360/24129 [===>..........................] - ETA: 7s - loss: 139.1764 - output_salary_loss: 0.5308 - output_age_loss: 138.6456 - output_salary_acc: 0.7405 - output_age_mean_squared_error: 138.6456
3520/24129 [===>..........................] - ETA: 7s - loss: 139.4432 - output_salary_loss: 0.5294 - output_age_loss: 138.9138 - output_salary_acc: 0.7418 - output_age_mean_squared_error: 138.9138
3648/24129 [===>..........................] - ETA: 7s - loss: 139.2857 - output_salary_loss: 0.5311 - output_age_loss: 138.7545 - output_salary_acc: 0.7415 - output_age_mean_squared_error: 138.7545
3776/24129 [===>..........................] - ETA: 7s - loss: 140.1623 - output_salary_loss: 0.5274 - output_age_loss: 139.6349 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 139.6349
3936/24129 [===>..........................] - ETA: 7s - loss: 140.3658 - output_salary_loss: 0.5284 - output_age_loss: 139.8374 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 139.8374
4096/24129 [====>.........................] - ETA: 7s - loss: 141.2440 - output_salary_loss: 0.5276 - output_age_loss: 140.7164 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 140.7164
4288/24129 [====>.........................] - ETA: 7s - loss: 141.1262 - output_salary_loss: 0.5292 - output_age_loss: 140.5970 - output_salary_acc: 0.7453 - output_age_mean_squared_error: 140.5970
4608/24129 [====>.........................] - ETA: 7s - loss: 141.1003 - output_salary_loss: 0.5305 - output_age_loss: 140.5697 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 140.5697
5056/24129 [=====>........................] - ETA: 6s - loss: 139.9609 - output_salary_loss: 0.5302 - output_age_loss: 139.4308 - output_salary_acc: 0.7458 - output_age_mean_squared_error: 139.4308
5344/24129 [=====>........................] - ETA: 6s - loss: 139.5830 - output_salary_loss: 0.5285 - output_age_loss: 139.0545 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 139.0545
5472/24129 [=====>........................] - ETA: 6s - loss: 139.5857 - output_salary_loss: 0.5294 - output_age_loss: 139.0563 - output_salary_acc: 0.7458 - output_age_mean_squared_error: 139.0563
5632/24129 [======>.......................] - ETA: 6s - loss: 139.2042 - output_salary_loss: 0.5308 - output_age_loss: 138.6735 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 138.6735
5760/24129 [======>.......................] - ETA: 6s - loss: 139.3764 - output_salary_loss: 0.5302 - output_age_loss: 138.8461 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 138.8461
5920/24129 [======>.......................] - ETA: 6s - loss: 139.7400 - output_salary_loss: 0.5312 - output_age_loss: 139.2088 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 139.2088
6048/24129 [======>.......................] - ETA: 6s - loss: 139.6699 - output_salary_loss: 0.5310 - output_age_loss: 139.1389 - output_salary_acc: 0.7440 - output_age_mean_squared_error: 139.1389
6208/24129 [======>.......................] - ETA: 6s - loss: 139.7161 - output_salary_loss: 0.5301 - output_age_loss: 139.1860 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 139.1860
6304/24129 [======>.......................] - ETA: 6s - loss: 139.5893 - output_salary_loss: 0.5295 - output_age_loss: 139.0598 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 139.0598
6432/24129 [======>.......................] - ETA: 6s - loss: 140.1596 - output_salary_loss: 0.5290 - output_age_loss: 139.6306 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 139.6306
6592/24129 [=======>......................] - ETA: 6s - loss: 140.1334 - output_salary_loss: 0.5295 - output_age_loss: 139.6038 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 139.6038
6752/24129 [=======>......................] - ETA: 5s - loss: 140.0135 - output_salary_loss: 0.5294 - output_age_loss: 139.4841 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 139.4841
6912/24129 [=======>......................] - ETA: 5s - loss: 139.8504 - output_salary_loss: 0.5302 - output_age_loss: 139.3202 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 139.3202
7040/24129 [=======>......................] - ETA: 5s - loss: 139.9774 - output_salary_loss: 0.5294 - output_age_loss: 139.4480 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 139.4480
7200/24129 [=======>......................] - ETA: 5s - loss: 140.2439 - output_salary_loss: 0.5299 - output_age_loss: 139.7140 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 139.7140
7360/24129 [========>.....................] - ETA: 5s - loss: 140.9909 - output_salary_loss: 0.5307 - output_age_loss: 140.4602 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 140.4602
7520/24129 [========>.....................] - ETA: 5s - loss: 140.5491 - output_salary_loss: 0.5321 - output_age_loss: 140.0170 - output_salary_acc: 0.7431 - output_age_mean_squared_error: 140.0170
7616/24129 [========>.....................] - ETA: 5s - loss: 140.0671 - output_salary_loss: 0.5321 - output_age_loss: 139.5350 - output_salary_acc: 0.7432 - output_age_mean_squared_error: 139.5350
7776/24129 [========>.....................] - ETA: 5s - loss: 139.5776 - output_salary_loss: 0.5316 - output_age_loss: 139.0460 - output_salary_acc: 0.7437 - output_age_mean_squared_error: 139.0460
8000/24129 [========>.....................] - ETA: 5s - loss: 139.0990 - output_salary_loss: 0.5316 - output_age_loss: 138.5674 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 138.5674
8448/24129 [=========>....................] - ETA: 5s - loss: 139.3460 - output_salary_loss: 0.5298 - output_age_loss: 138.8162 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 138.8162
8960/24129 [==========>...................] - ETA: 4s - loss: 139.2821 - output_salary_loss: 0.5284 - output_age_loss: 138.7537 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 138.7537
9408/24129 [==========>...................] - ETA: 4s - loss: 138.5180 - output_salary_loss: 0.5296 - output_age_loss: 137.9884 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 137.9884
9920/24129 [===========>..................] - ETA: 4s - loss: 138.4368 - output_salary_loss: 0.5298 - output_age_loss: 137.9070 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 137.9070
10336/24129 [===========>..................] - ETA: 4s - loss: 138.9902 - output_salary_loss: 0.5274 - output_age_loss: 138.4628 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 138.4628
10528/24129 [============>.................] - ETA: 3s - loss: 139.2636 - output_salary_loss: 0.5271 - output_age_loss: 138.7366 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 138.7366
10688/24129 [============>.................] - ETA: 3s - loss: 139.5914 - output_salary_loss: 0.5279 - output_age_loss: 139.0635 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 139.0635
10784/24129 [============>.................] - ETA: 3s - loss: 139.3271 - output_salary_loss: 0.5283 - output_age_loss: 138.7988 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 138.7988
10880/24129 [============>.................] - ETA: 4s - loss: 139.4704 - output_salary_loss: 0.5273 - output_age_loss: 138.9431 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 138.9431
11040/24129 [============>.................] - ETA: 3s - loss: 139.3801 - output_salary_loss: 0.5275 - output_age_loss: 138.8527 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 138.8527
11136/24129 [============>.................] - ETA: 3s - loss: 139.7019 - output_salary_loss: 0.5270 - output_age_loss: 139.1749 - output_salary_acc: 0.7479 - output_age_mean_squared_error: 139.1749
11200/24129 [============>.................] - ETA: 4s - loss: 140.0021 - output_salary_loss: 0.5270 - output_age_loss: 139.4751 - output_salary_acc: 0.7479 - output_age_mean_squared_error: 139.4751
11328/24129 [=============>................] - ETA: 3s - loss: 140.0444 - output_salary_loss: 0.5268 - output_age_loss: 139.5177 - output_salary_acc: 0.7481 - output_age_mean_squared_error: 139.5177
11456/24129 [=============>................] - ETA: 3s - loss: 139.9634 - output_salary_loss: 0.5265 - output_age_loss: 139.4369 - output_salary_acc: 0.7483 - output_age_mean_squared_error: 139.4369
11552/24129 [=============>................] - ETA: 3s - loss: 140.1613 - output_salary_loss: 0.5266 - output_age_loss: 139.6347 - output_salary_acc: 0.7481 - output_age_mean_squared_error: 139.6347
11648/24129 [=============>................] - ETA: 3s - loss: 140.0226 - output_salary_loss: 0.5268 - output_age_loss: 139.4958 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 139.4958
11776/24129 [=============>................] - ETA: 3s - loss: 140.1689 - output_salary_loss: 0.5277 - output_age_loss: 139.6412 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 139.6412
11872/24129 [=============>................] - ETA: 3s - loss: 140.4146 - output_salary_loss: 0.5279 - output_age_loss: 139.8868 - output_salary_acc: 0.7473 - output_age_mean_squared_error: 139.8868
11968/24129 [=============>................] - ETA: 3s - loss: 140.0781 - output_salary_loss: 0.5274 - output_age_loss: 139.5506 - output_salary_acc: 0.7476 - output_age_mean_squared_error: 139.5506
12128/24129 [==============>...............] - ETA: 3s - loss: 140.2466 - output_salary_loss: 0.5268 - output_age_loss: 139.7198 - output_salary_acc: 0.7477 - output_age_mean_squared_error: 139.7198
12224/24129 [==============>...............] - ETA: 3s - loss: 140.3554 - output_salary_loss: 0.5267 - output_age_loss: 139.8287 - output_salary_acc: 0.7479 - output_age_mean_squared_error: 139.8287
12352/24129 [==============>...............] - ETA: 3s - loss: 140.3364 - output_salary_loss: 0.5271 - output_age_loss: 139.8093 - output_salary_acc: 0.7477 - output_age_mean_squared_error: 139.8093
12640/24129 [==============>...............] - ETA: 3s - loss: 140.0685 - output_salary_loss: 0.5266 - output_age_loss: 139.5420 - output_salary_acc: 0.7483 - output_age_mean_squared_error: 139.5420
12768/24129 [==============>...............] - ETA: 3s - loss: 139.9734 - output_salary_loss: 0.5264 - output_age_loss: 139.4470 - output_salary_acc: 0.7484 - output_age_mean_squared_error: 139.4470
12928/24129 [===============>..............] - ETA: 3s - loss: 139.9762 - output_salary_loss: 0.5274 - output_age_loss: 139.4488 - output_salary_acc: 0.7477 - output_age_mean_squared_error: 139.4488
12992/24129 [===============>..............] - ETA: 3s - loss: 139.9454 - output_salary_loss: 0.5273 - output_age_loss: 139.4181 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 139.4181
13120/24129 [===============>..............] - ETA: 3s - loss: 139.7021 - output_salary_loss: 0.5281 - output_age_loss: 139.1740 - output_salary_acc: 0.7473 - output_age_mean_squared_error: 139.1740
13216/24129 [===============>..............] - ETA: 3s - loss: 139.5404 - output_salary_loss: 0.5279 - output_age_loss: 139.0125 - output_salary_acc: 0.7475 - output_age_mean_squared_error: 139.0125
13344/24129 [===============>..............] - ETA: 3s - loss: 139.3369 - output_salary_loss: 0.5277 - output_age_loss: 138.8092 - output_salary_acc: 0.7478 - output_age_mean_squared_error: 138.8092
13440/24129 [===============>..............] - ETA: 3s - loss: 139.5311 - output_salary_loss: 0.5277 - output_age_loss: 139.0034 - output_salary_acc: 0.7477 - output_age_mean_squared_error: 139.0034
13600/24129 [===============>..............] - ETA: 3s - loss: 139.4972 - output_salary_loss: 0.5274 - output_age_loss: 138.9698 - output_salary_acc: 0.7479 - output_age_mean_squared_error: 138.9698
13696/24129 [================>.............] - ETA: 3s - loss: 139.6435 - output_salary_loss: 0.5271 - output_age_loss: 139.1164 - output_salary_acc: 0.7479 - output_age_mean_squared_error: 139.1164
13792/24129 [================>.............] - ETA: 3s - loss: 139.5817 - output_salary_loss: 0.5272 - output_age_loss: 139.0545 - output_salary_acc: 0.7478 - output_age_mean_squared_error: 139.0545
13952/24129 [================>.............] - ETA: 3s - loss: 139.4101 - output_salary_loss: 0.5274 - output_age_loss: 138.8827 - output_salary_acc: 0.7476 - output_age_mean_squared_error: 138.8827
14048/24129 [================>.............] - ETA: 3s - loss: 139.3495 - output_salary_loss: 0.5277 - output_age_loss: 138.8218 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 138.8218
14144/24129 [================>.............] - ETA: 3s - loss: 139.4343 - output_salary_loss: 0.5280 - output_age_loss: 138.9063 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 138.9063
14272/24129 [================>.............] - ETA: 3s - loss: 139.2712 - output_salary_loss: 0.5279 - output_age_loss: 138.7433 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 138.7433
14368/24129 [================>.............] - ETA: 3s - loss: 139.0716 - output_salary_loss: 0.5278 - output_age_loss: 138.5437 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 138.5437
14464/24129 [================>.............] - ETA: 3s - loss: 139.1094 - output_salary_loss: 0.5283 - output_age_loss: 138.5811 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 138.5811
14624/24129 [=================>............] - ETA: 3s - loss: 139.2112 - output_salary_loss: 0.5289 - output_age_loss: 138.6823 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 138.6823
14944/24129 [=================>............] - ETA: 3s - loss: 139.6081 - output_salary_loss: 0.5275 - output_age_loss: 139.0807 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 139.0807
15296/24129 [==================>...........] - ETA: 3s - loss: 139.4097 - output_salary_loss: 0.5284 - output_age_loss: 138.8813 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 138.8813
15616/24129 [==================>...........] - ETA: 2s - loss: 139.1121 - output_salary_loss: 0.5268 - output_age_loss: 138.5853 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 138.5853
15968/24129 [==================>...........] - ETA: 2s - loss: 139.1568 - output_salary_loss: 0.5261 - output_age_loss: 138.6307 - output_salary_acc: 0.7477 - output_age_mean_squared_error: 138.6307
16256/24129 [===================>..........] - ETA: 2s - loss: 139.0429 - output_salary_loss: 0.5268 - output_age_loss: 138.5162 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 138.5162
16480/24129 [===================>..........] - ETA: 2s - loss: 139.0855 - output_salary_loss: 0.5269 - output_age_loss: 138.5587 - output_salary_acc: 0.7473 - output_age_mean_squared_error: 138.5587
16640/24129 [===================>..........] - ETA: 2s - loss: 139.1587 - output_salary_loss: 0.5270 - output_age_loss: 138.6317 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 138.6317
16768/24129 [===================>..........] - ETA: 2s - loss: 139.3718 - output_salary_loss: 0.5277 - output_age_loss: 138.8441 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 138.8441
16832/24129 [===================>..........] - ETA: 2s - loss: 139.2001 - output_salary_loss: 0.5275 - output_age_loss: 138.6726 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 138.6726
16992/24129 [====================>.........] - ETA: 2s - loss: 139.1441 - output_salary_loss: 0.5275 - output_age_loss: 138.6166 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 138.6166
17088/24129 [====================>.........] - ETA: 2s - loss: 138.9882 - output_salary_loss: 0.5276 - output_age_loss: 138.4606 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 138.4606
17120/24129 [====================>.........] - ETA: 2s - loss: 138.8515 - output_salary_loss: 0.5276 - output_age_loss: 138.3240 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 138.3240
17280/24129 [====================>.........] - ETA: 2s - loss: 138.9557 - output_salary_loss: 0.5274 - output_age_loss: 138.4283 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 138.4283
17440/24129 [====================>.........] - ETA: 2s - loss: 139.3367 - output_salary_loss: 0.5273 - output_age_loss: 138.8094 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 138.8094
17504/24129 [====================>.........] - ETA: 2s - loss: 139.4841 - output_salary_loss: 0.5274 - output_age_loss: 138.9567 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 138.9567
17632/24129 [====================>.........] - ETA: 2s - loss: 139.3023 - output_salary_loss: 0.5276 - output_age_loss: 138.7747 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 138.7747
17792/24129 [=====================>........] - ETA: 2s - loss: 139.3882 - output_salary_loss: 0.5280 - output_age_loss: 138.8603 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 138.8603
17888/24129 [=====================>........] - ETA: 2s - loss: 139.3822 - output_salary_loss: 0.5274 - output_age_loss: 138.8549 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 138.8549
18016/24129 [=====================>........] - ETA: 2s - loss: 139.2481 - output_salary_loss: 0.5272 - output_age_loss: 138.7210 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 138.7210
18144/24129 [=====================>........] - ETA: 2s - loss: 139.4528 - output_salary_loss: 0.5272 - output_age_loss: 138.9256 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 138.9256
18208/24129 [=====================>........] - ETA: 2s - loss: 139.4752 - output_salary_loss: 0.5273 - output_age_loss: 138.9478 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 138.9478
18272/24129 [=====================>........] - ETA: 2s - loss: 139.5098 - output_salary_loss: 0.5274 - output_age_loss: 138.9824 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 138.9824
18560/24129 [======================>.......] - ETA: 1s - loss: 139.4797 - output_salary_loss: 0.5268 - output_age_loss: 138.9529 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 138.9529
18656/24129 [======================>.......] - ETA: 1s - loss: 139.4272 - output_salary_loss: 0.5268 - output_age_loss: 138.9003 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 138.9003
18784/24129 [======================>.......] - ETA: 1s - loss: 139.3837 - output_salary_loss: 0.5269 - output_age_loss: 138.8567 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 138.8567
18912/24129 [======================>.......] - ETA: 1s - loss: 139.8476 - output_salary_loss: 0.5275 - output_age_loss: 139.3201 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 139.3201
18976/24129 [======================>.......] - ETA: 1s - loss: 139.8622 - output_salary_loss: 0.5278 - output_age_loss: 139.3344 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 139.3344
19136/24129 [======================>.......] - ETA: 1s - loss: 140.2030 - output_salary_loss: 0.5281 - output_age_loss: 139.6749 - output_salary_acc: 0.7458 - output_age_mean_squared_error: 139.6749
19296/24129 [======================>.......] - ETA: 1s - loss: 140.3123 - output_salary_loss: 0.5281 - output_age_loss: 139.7842 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 139.7842
19392/24129 [=======================>......] - ETA: 1s - loss: 140.2345 - output_salary_loss: 0.5283 - output_age_loss: 139.7062 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 139.7062
19520/24129 [=======================>......] - ETA: 1s - loss: 140.2292 - output_salary_loss: 0.5286 - output_age_loss: 139.7006 - output_salary_acc: 0.7453 - output_age_mean_squared_error: 139.7006
19648/24129 [=======================>......] - ETA: 1s - loss: 140.2405 - output_salary_loss: 0.5285 - output_age_loss: 139.7120 - output_salary_acc: 0.7453 - output_age_mean_squared_error: 139.7120
19744/24129 [=======================>......] - ETA: 1s - loss: 140.2571 - output_salary_loss: 0.5282 - output_age_loss: 139.7288 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 139.7288
19840/24129 [=======================>......] - ETA: 1s - loss: 140.4221 - output_salary_loss: 0.5276 - output_age_loss: 139.8945 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 139.8945
20000/24129 [=======================>......] - ETA: 1s - loss: 140.4493 - output_salary_loss: 0.5277 - output_age_loss: 139.9215 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 139.9215
20128/24129 [========================>.....] - ETA: 1s - loss: 140.4839 - output_salary_loss: 0.5275 - output_age_loss: 139.9564 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 139.9564
20256/24129 [========================>.....] - ETA: 1s - loss: 140.4290 - output_salary_loss: 0.5273 - output_age_loss: 139.9017 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 139.9017
20416/24129 [========================>.....] - ETA: 1s - loss: 140.4331 - output_salary_loss: 0.5275 - output_age_loss: 139.9055 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 139.9055
20544/24129 [========================>.....] - ETA: 1s - loss: 140.5476 - output_salary_loss: 0.5277 - output_age_loss: 140.0198 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 140.0198
20896/24129 [========================>.....] - ETA: 1s - loss: 140.6785 - output_salary_loss: 0.5282 - output_age_loss: 140.1503 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 140.1503
20992/24129 [=========================>....] - ETA: 1s - loss: 140.6669 - output_salary_loss: 0.5281 - output_age_loss: 140.1389 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 140.1389
21152/24129 [=========================>....] - ETA: 1s - loss: 140.6057 - output_salary_loss: 0.5276 - output_age_loss: 140.0781 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 140.0781
21280/24129 [=========================>....] - ETA: 1s - loss: 140.8718 - output_salary_loss: 0.5276 - output_age_loss: 140.3441 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 140.3441
21344/24129 [=========================>....] - ETA: 1s - loss: 140.7083 - output_salary_loss: 0.5278 - output_age_loss: 140.1805 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 140.1805
21504/24129 [=========================>....] - ETA: 0s - loss: 140.7042 - output_salary_loss: 0.5281 - output_age_loss: 140.1761 - output_salary_acc: 0.7453 - output_age_mean_squared_error: 140.1761
21664/24129 [=========================>....] - ETA: 0s - loss: 140.5410 - output_salary_loss: 0.5282 - output_age_loss: 140.0129 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 140.0129
21728/24129 [==========================>...] - ETA: 0s - loss: 140.5487 - output_salary_loss: 0.5282 - output_age_loss: 140.0204 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 140.0204
21856/24129 [==========================>...] - ETA: 0s - loss: 140.4206 - output_salary_loss: 0.5280 - output_age_loss: 139.8925 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 139.8925
22016/24129 [==========================>...] - ETA: 0s - loss: 140.5310 - output_salary_loss: 0.5282 - output_age_loss: 140.0028 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 140.0028
22080/24129 [==========================>...] - ETA: 0s - loss: 140.6122 - output_salary_loss: 0.5284 - output_age_loss: 140.0839 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 140.0839
22240/24129 [==========================>...] - ETA: 0s - loss: 140.5480 - output_salary_loss: 0.5284 - output_age_loss: 140.0196 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 140.0196
22336/24129 [==========================>...] - ETA: 0s - loss: 140.4537 - output_salary_loss: 0.5286 - output_age_loss: 139.9251 - output_salary_acc: 0.7448 - output_age_mean_squared_error: 139.9251
22432/24129 [==========================>...] - ETA: 0s - loss: 140.5781 - output_salary_loss: 0.5287 - output_age_loss: 140.0493 - output_salary_acc: 0.7447 - output_age_mean_squared_error: 140.0493
22560/24129 [===========================>..] - ETA: 0s - loss: 140.7002 - output_salary_loss: 0.5286 - output_age_loss: 140.1717 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 140.1717
22720/24129 [===========================>..] - ETA: 0s - loss: 140.5936 - output_salary_loss: 0.5283 - output_age_loss: 140.0653 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 140.0653
22784/24129 [===========================>..] - ETA: 0s - loss: 140.5041 - output_salary_loss: 0.5286 - output_age_loss: 139.9755 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 139.9755
22944/24129 [===========================>..] - ETA: 0s - loss: 140.2415 - output_salary_loss: 0.5287 - output_age_loss: 139.7128 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 139.7128
23200/24129 [===========================>..] - ETA: 0s - loss: 140.0855 - output_salary_loss: 0.5283 - output_age_loss: 139.5572 - output_salary_acc: 0.7450 - output_age_mean_squared_error: 139.5572
23456/24129 [============================>.] - ETA: 0s - loss: 140.2125 - output_salary_loss: 0.5286 - output_age_loss: 139.6839 - output_salary_acc: 0.7448 - output_age_mean_squared_error: 139.6839
23808/24129 [============================>.] - ETA: 0s - loss: 140.1290 - output_salary_loss: 0.5286 - output_age_loss: 139.6004 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 139.6004
24128/24129 [============================>.] - ETA: 0s - loss: 139.8795 - output_salary_loss: 0.5278 - output_age_loss: 139.3516 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 139.3516
24129/24129 [==============================] - 9s 386us/step - loss: 139.8874 - output_salary_loss: 0.5279 - output_age_loss: 139.3596 - output_salary_acc: 0.7453 - output_age_mean_squared_error: 139.3596 - val_loss: 99.1597 - val_output_salary_loss: 0.5282 - val_output_age_loss: 98.6315 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 98.6315
Epoch 16/20
32/24129 [..............................] - ETA: 10s - loss: 92.9762 - output_salary_loss: 0.5412 - output_age_loss: 92.4351 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 92.4351
192/24129 [..............................] - ETA: 9s - loss: 146.9062 - output_salary_loss: 0.5069 - output_age_loss: 146.3994 - output_salary_acc: 0.7656 - output_age_mean_squared_error: 146.3994
352/24129 [..............................] - ETA: 8s - loss: 137.1208 - output_salary_loss: 0.5139 - output_age_loss: 136.6069 - output_salary_acc: 0.7557 - output_age_mean_squared_error: 136.6069
512/24129 [..............................] - ETA: 8s - loss: 139.5743 - output_salary_loss: 0.5123 - output_age_loss: 139.0620 - output_salary_acc: 0.7617 - output_age_mean_squared_error: 139.0620
608/24129 [..............................] - ETA: 9s - loss: 142.8842 - output_salary_loss: 0.5131 - output_age_loss: 142.3711 - output_salary_acc: 0.7615 - output_age_mean_squared_error: 142.3711
736/24129 [..............................] - ETA: 9s - loss: 143.9004 - output_salary_loss: 0.5146 - output_age_loss: 143.3859 - output_salary_acc: 0.7636 - output_age_mean_squared_error: 143.3859
896/24129 [>.............................] - ETA: 9s - loss: 142.4396 - output_salary_loss: 0.5228 - output_age_loss: 141.9168 - output_salary_acc: 0.7578 - output_age_mean_squared_error: 141.9168
1120/24129 [>.............................] - ETA: 8s - loss: 149.5209 - output_salary_loss: 0.5337 - output_age_loss: 148.9873 - output_salary_acc: 0.7491 - output_age_mean_squared_error: 148.9873
1664/24129 [=>............................] - ETA: 6s - loss: 149.9736 - output_salary_loss: 0.5157 - output_age_loss: 149.4579 - output_salary_acc: 0.7620 - output_age_mean_squared_error: 149.4579
2304/24129 [=>............................] - ETA: 4s - loss: 142.6084 - output_salary_loss: 0.5173 - output_age_loss: 142.0911 - output_salary_acc: 0.7569 - output_age_mean_squared_error: 142.0911
2848/24129 [==>...........................] - ETA: 4s - loss: 143.7389 - output_salary_loss: 0.5206 - output_age_loss: 143.2183 - output_salary_acc: 0.7532 - output_age_mean_squared_error: 143.2183
3424/24129 [===>..........................] - ETA: 3s - loss: 140.6544 - output_salary_loss: 0.5257 - output_age_loss: 140.1288 - output_salary_acc: 0.7497 - output_age_mean_squared_error: 140.1288
4032/24129 [====>.........................] - ETA: 3s - loss: 140.4953 - output_salary_loss: 0.5219 - output_age_loss: 139.9734 - output_salary_acc: 0.7493 - output_age_mean_squared_error: 139.9734
4768/24129 [====>.........................] - ETA: 2s - loss: 140.2424 - output_salary_loss: 0.5174 - output_age_loss: 139.7250 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 139.7250
5472/24129 [=====>........................] - ETA: 2s - loss: 138.6682 - output_salary_loss: 0.5189 - output_age_loss: 138.1492 - output_salary_acc: 0.7491 - output_age_mean_squared_error: 138.1492
6112/24129 [======>.......................] - ETA: 2s - loss: 139.2117 - output_salary_loss: 0.5155 - output_age_loss: 138.6961 - output_salary_acc: 0.7513 - output_age_mean_squared_error: 138.6961
6784/24129 [=======>......................] - ETA: 2s - loss: 137.9435 - output_salary_loss: 0.5192 - output_age_loss: 137.4244 - output_salary_acc: 0.7478 - output_age_mean_squared_error: 137.4244
7392/24129 [========>.....................] - ETA: 2s - loss: 139.6802 - output_salary_loss: 0.5186 - output_age_loss: 139.1616 - output_salary_acc: 0.7484 - output_age_mean_squared_error: 139.1616
8032/24129 [========>.....................] - ETA: 1s - loss: 140.1115 - output_salary_loss: 0.5165 - output_age_loss: 139.5950 - output_salary_acc: 0.7495 - output_age_mean_squared_error: 139.5950
8640/24129 [=========>....................] - ETA: 1s - loss: 139.1548 - output_salary_loss: 0.5182 - output_age_loss: 138.6366 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 138.6366
9216/24129 [==========>...................] - ETA: 1s - loss: 138.4544 - output_salary_loss: 0.5190 - output_age_loss: 137.9353 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 137.9353
9728/24129 [===========>..................] - ETA: 1s - loss: 138.1971 - output_salary_loss: 0.5193 - output_age_loss: 137.6777 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 137.6777
10144/24129 [===========>..................] - ETA: 1s - loss: 138.7280 - output_salary_loss: 0.5185 - output_age_loss: 138.2095 - output_salary_acc: 0.7472 - output_age_mean_squared_error: 138.2095
10560/24129 [============>.................] - ETA: 1s - loss: 138.2615 - output_salary_loss: 0.5200 - output_age_loss: 137.7415 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 137.7415
10880/24129 [============>.................] - ETA: 1s - loss: 137.8423 - output_salary_loss: 0.5201 - output_age_loss: 137.3222 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 137.3222
11040/24129 [============>.................] - ETA: 1s - loss: 137.7739 - output_salary_loss: 0.5193 - output_age_loss: 137.2547 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 137.2547
11360/24129 [=============>................] - ETA: 1s - loss: 137.8940 - output_salary_loss: 0.5203 - output_age_loss: 137.3737 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 137.3737
11840/24129 [=============>................] - ETA: 1s - loss: 137.2775 - output_salary_loss: 0.5212 - output_age_loss: 136.7563 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 136.7563
12480/24129 [==============>...............] - ETA: 1s - loss: 137.1918 - output_salary_loss: 0.5220 - output_age_loss: 136.6697 - output_salary_acc: 0.7437 - output_age_mean_squared_error: 136.6697
13184/24129 [===============>..............] - ETA: 1s - loss: 136.8687 - output_salary_loss: 0.5215 - output_age_loss: 136.3472 - output_salary_acc: 0.7440 - output_age_mean_squared_error: 136.3472
13824/24129 [================>.............] - ETA: 1s - loss: 136.5511 - output_salary_loss: 0.5216 - output_age_loss: 136.0295 - output_salary_acc: 0.7431 - output_age_mean_squared_error: 136.0295
14528/24129 [=================>............] - ETA: 1s - loss: 136.3601 - output_salary_loss: 0.5228 - output_age_loss: 135.8373 - output_salary_acc: 0.7427 - output_age_mean_squared_error: 135.8373
15168/24129 [=================>............] - ETA: 1s - loss: 137.5123 - output_salary_loss: 0.5226 - output_age_loss: 136.9896 - output_salary_acc: 0.7435 - output_age_mean_squared_error: 136.9896
15840/24129 [==================>...........] - ETA: 0s - loss: 137.5665 - output_salary_loss: 0.5241 - output_age_loss: 137.0424 - output_salary_acc: 0.7425 - output_age_mean_squared_error: 137.0424
16448/24129 [===================>..........] - ETA: 0s - loss: 137.1254 - output_salary_loss: 0.5252 - output_age_loss: 136.6003 - output_salary_acc: 0.7409 - output_age_mean_squared_error: 136.6003
17056/24129 [====================>.........] - ETA: 0s - loss: 136.5965 - output_salary_loss: 0.5242 - output_age_loss: 136.0724 - output_salary_acc: 0.7420 - output_age_mean_squared_error: 136.0724
17760/24129 [=====================>........] - ETA: 0s - loss: 137.8312 - output_salary_loss: 0.5229 - output_age_loss: 137.3084 - output_salary_acc: 0.7434 - output_age_mean_squared_error: 137.3084
18272/24129 [=====================>........] - ETA: 0s - loss: 138.1094 - output_salary_loss: 0.5216 - output_age_loss: 137.5878 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 137.5878
18720/24129 [======================>.......] - ETA: 0s - loss: 137.8393 - output_salary_loss: 0.5209 - output_age_loss: 137.3184 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 137.3184
19456/24129 [=======================>......] - ETA: 0s - loss: 137.7514 - output_salary_loss: 0.5214 - output_age_loss: 137.2300 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 137.2300
19968/24129 [=======================>......] - ETA: 0s - loss: 137.9367 - output_salary_loss: 0.5220 - output_age_loss: 137.4147 - output_salary_acc: 0.7429 - output_age_mean_squared_error: 137.4147
20416/24129 [========================>.....] - ETA: 0s - loss: 137.4891 - output_salary_loss: 0.5219 - output_age_loss: 136.9672 - output_salary_acc: 0.7431 - output_age_mean_squared_error: 136.9672
20832/24129 [========================>.....] - ETA: 0s - loss: 137.4064 - output_salary_loss: 0.5213 - output_age_loss: 136.8850 - output_salary_acc: 0.7437 - output_age_mean_squared_error: 136.8850
21216/24129 [=========================>....] - ETA: 0s - loss: 137.5464 - output_salary_loss: 0.5213 - output_age_loss: 137.0251 - output_salary_acc: 0.7440 - output_age_mean_squared_error: 137.0251
21536/24129 [=========================>....] - ETA: 0s - loss: 137.5373 - output_salary_loss: 0.5213 - output_age_loss: 137.0159 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 137.0159
21920/24129 [==========================>...] - ETA: 0s - loss: 137.2021 - output_salary_loss: 0.5212 - output_age_loss: 136.6809 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 136.6809
22336/24129 [==========================>...] - ETA: 0s - loss: 137.0695 - output_salary_loss: 0.5209 - output_age_loss: 136.5486 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 136.5486
22752/24129 [===========================>..] - ETA: 0s - loss: 137.5469 - output_salary_loss: 0.5205 - output_age_loss: 137.0265 - output_salary_acc: 0.7448 - output_age_mean_squared_error: 137.0265
23136/24129 [===========================>..] - ETA: 0s - loss: 137.2556 - output_salary_loss: 0.5211 - output_age_loss: 136.7346 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 136.7346
23488/24129 [============================>.] - ETA: 0s - loss: 137.2496 - output_salary_loss: 0.5214 - output_age_loss: 136.7282 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 136.7282
23904/24129 [============================>.] - ETA: 0s - loss: 137.3015 - output_salary_loss: 0.5216 - output_age_loss: 136.7800 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 136.7800
24129/24129 [==============================] - 3s 116us/step - loss: 137.2249 - output_salary_loss: 0.5215 - output_age_loss: 136.7034 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 136.7034 - val_loss: 102.3784 - val_output_salary_loss: 0.5236 - val_output_age_loss: 101.8548 - val_output_salary_acc: 0.7452 - val_output_age_mean_squared_error: 101.8548
Epoch 17/20
32/24129 [..............................] - ETA: 8s - loss: 173.6446 - output_salary_loss: 0.5233 - output_age_loss: 173.1212 - output_salary_acc: 0.7812 - output_age_mean_squared_error: 173.1212
480/24129 [..............................] - ETA: 3s - loss: 135.4335 - output_salary_loss: 0.5536 - output_age_loss: 134.8799 - output_salary_acc: 0.7250 - output_age_mean_squared_error: 134.8799
928/24129 [>.............................] - ETA: 2s - loss: 131.1384 - output_salary_loss: 0.5425 - output_age_loss: 130.5960 - output_salary_acc: 0.7220 - output_age_mean_squared_error: 130.5960
1600/24129 [>.............................] - ETA: 2s - loss: 135.2115 - output_salary_loss: 0.5221 - output_age_loss: 134.6893 - output_salary_acc: 0.7375 - output_age_mean_squared_error: 134.6893
2272/24129 [=>............................] - ETA: 2s - loss: 132.3853 - output_salary_loss: 0.5174 - output_age_loss: 131.8679 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 131.8679
2944/24129 [==>...........................] - ETA: 1s - loss: 131.4555 - output_salary_loss: 0.5281 - output_age_loss: 130.9273 - output_salary_acc: 0.7344 - output_age_mean_squared_error: 130.9273
3488/24129 [===>..........................] - ETA: 1s - loss: 129.0844 - output_salary_loss: 0.5207 - output_age_loss: 128.5637 - output_salary_acc: 0.7417 - output_age_mean_squared_error: 128.5637
4096/24129 [====>.........................] - ETA: 1s - loss: 131.0570 - output_salary_loss: 0.5277 - output_age_loss: 130.5294 - output_salary_acc: 0.7375 - output_age_mean_squared_error: 130.5294
4672/24129 [====>.........................] - ETA: 1s - loss: 129.3763 - output_salary_loss: 0.5292 - output_age_loss: 128.8472 - output_salary_acc: 0.7395 - output_age_mean_squared_error: 128.8472
5088/24129 [=====>........................] - ETA: 1s - loss: 129.4923 - output_salary_loss: 0.5273 - output_age_loss: 128.9650 - output_salary_acc: 0.7412 - output_age_mean_squared_error: 128.9650
5504/24129 [=====>........................] - ETA: 1s - loss: 128.7709 - output_salary_loss: 0.5267 - output_age_loss: 128.2441 - output_salary_acc: 0.7409 - output_age_mean_squared_error: 128.2441
6016/24129 [======>.......................] - ETA: 1s - loss: 128.1993 - output_salary_loss: 0.5269 - output_age_loss: 127.6724 - output_salary_acc: 0.7397 - output_age_mean_squared_error: 127.6724
6368/24129 [======>.......................] - ETA: 1s - loss: 128.1800 - output_salary_loss: 0.5260 - output_age_loss: 127.6540 - output_salary_acc: 0.7404 - output_age_mean_squared_error: 127.6540
6720/24129 [=======>......................] - ETA: 1s - loss: 129.0934 - output_salary_loss: 0.5256 - output_age_loss: 128.5678 - output_salary_acc: 0.7399 - output_age_mean_squared_error: 128.5678
7008/24129 [=======>......................] - ETA: 1s - loss: 129.5606 - output_salary_loss: 0.5246 - output_age_loss: 129.0360 - output_salary_acc: 0.7407 - output_age_mean_squared_error: 129.0360
7168/24129 [=======>......................] - ETA: 1s - loss: 129.4679 - output_salary_loss: 0.5247 - output_age_loss: 128.9431 - output_salary_acc: 0.7411 - output_age_mean_squared_error: 128.9431
7232/24129 [=======>......................] - ETA: 2s - loss: 129.3280 - output_salary_loss: 0.5249 - output_age_loss: 128.8031 - output_salary_acc: 0.7409 - output_age_mean_squared_error: 128.8031
7392/24129 [========>.....................] - ETA: 2s - loss: 129.1924 - output_salary_loss: 0.5244 - output_age_loss: 128.6680 - output_salary_acc: 0.7417 - output_age_mean_squared_error: 128.6680
7552/24129 [========>.....................] - ETA: 2s - loss: 129.4454 - output_salary_loss: 0.5259 - output_age_loss: 128.9196 - output_salary_acc: 0.7411 - output_age_mean_squared_error: 128.9196
7616/24129 [========>.....................] - ETA: 2s - loss: 129.2881 - output_salary_loss: 0.5261 - output_age_loss: 128.7619 - output_salary_acc: 0.7409 - output_age_mean_squared_error: 128.7619
7744/24129 [========>.....................] - ETA: 2s - loss: 129.2865 - output_salary_loss: 0.5271 - output_age_loss: 128.7594 - output_salary_acc: 0.7403 - output_age_mean_squared_error: 128.7594
7904/24129 [========>.....................] - ETA: 2s - loss: 129.2313 - output_salary_loss: 0.5264 - output_age_loss: 128.7049 - output_salary_acc: 0.7416 - output_age_mean_squared_error: 128.7049
8032/24129 [========>.....................] - ETA: 2s - loss: 128.9560 - output_salary_loss: 0.5261 - output_age_loss: 128.4299 - output_salary_acc: 0.7418 - output_age_mean_squared_error: 128.4299
8160/24129 [=========>....................] - ETA: 2s - loss: 129.0099 - output_salary_loss: 0.5254 - output_age_loss: 128.4846 - output_salary_acc: 0.7424 - output_age_mean_squared_error: 128.4846
8320/24129 [=========>....................] - ETA: 2s - loss: 129.1885 - output_salary_loss: 0.5260 - output_age_loss: 128.6625 - output_salary_acc: 0.7415 - output_age_mean_squared_error: 128.6625
8416/24129 [=========>....................] - ETA: 2s - loss: 129.5191 - output_salary_loss: 0.5256 - output_age_loss: 128.9935 - output_salary_acc: 0.7419 - output_age_mean_squared_error: 128.9935
8544/24129 [=========>....................] - ETA: 2s - loss: 129.3157 - output_salary_loss: 0.5250 - output_age_loss: 128.7907 - output_salary_acc: 0.7423 - output_age_mean_squared_error: 128.7907
8704/24129 [=========>....................] - ETA: 2s - loss: 129.1086 - output_salary_loss: 0.5242 - output_age_loss: 128.5843 - output_salary_acc: 0.7429 - output_age_mean_squared_error: 128.5843
8864/24129 [==========>...................] - ETA: 2s - loss: 129.5273 - output_salary_loss: 0.5237 - output_age_loss: 129.0036 - output_salary_acc: 0.7432 - output_age_mean_squared_error: 129.0036
8960/24129 [==========>...................] - ETA: 2s - loss: 129.4283 - output_salary_loss: 0.5242 - output_age_loss: 128.9041 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 128.9041
9120/24129 [==========>...................] - ETA: 2s - loss: 129.8205 - output_salary_loss: 0.5239 - output_age_loss: 129.2967 - output_salary_acc: 0.7433 - output_age_mean_squared_error: 129.2967
9312/24129 [==========>...................] - ETA: 2s - loss: 129.7204 - output_salary_loss: 0.5257 - output_age_loss: 129.1947 - output_salary_acc: 0.7416 - output_age_mean_squared_error: 129.1947
9728/24129 [===========>..................] - ETA: 2s - loss: 130.8383 - output_salary_loss: 0.5240 - output_age_loss: 130.3143 - output_salary_acc: 0.7428 - output_age_mean_squared_error: 130.3143
10176/24129 [===========>..................] - ETA: 2s - loss: 131.6069 - output_salary_loss: 0.5230 - output_age_loss: 131.0838 - output_salary_acc: 0.7432 - output_age_mean_squared_error: 131.0838
10688/24129 [============>.................] - ETA: 2s - loss: 132.2210 - output_salary_loss: 0.5231 - output_age_loss: 131.6979 - output_salary_acc: 0.7427 - output_age_mean_squared_error: 131.6979
11104/24129 [============>.................] - ETA: 2s - loss: 133.0687 - output_salary_loss: 0.5224 - output_age_loss: 132.5463 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 132.5463
11520/24129 [=============>................] - ETA: 2s - loss: 133.1488 - output_salary_loss: 0.5232 - output_age_loss: 132.6256 - output_salary_acc: 0.7418 - output_age_mean_squared_error: 132.6256
11904/24129 [=============>................] - ETA: 2s - loss: 133.4801 - output_salary_loss: 0.5240 - output_age_loss: 132.9561 - output_salary_acc: 0.7406 - output_age_mean_squared_error: 132.9561
12288/24129 [==============>...............] - ETA: 2s - loss: 133.6171 - output_salary_loss: 0.5247 - output_age_loss: 133.0924 - output_salary_acc: 0.7398 - output_age_mean_squared_error: 133.0924
12800/24129 [==============>...............] - ETA: 1s - loss: 133.7878 - output_salary_loss: 0.5242 - output_age_loss: 133.2636 - output_salary_acc: 0.7401 - output_age_mean_squared_error: 133.2636
13216/24129 [===============>..............] - ETA: 1s - loss: 134.2727 - output_salary_loss: 0.5246 - output_age_loss: 133.7481 - output_salary_acc: 0.7395 - output_age_mean_squared_error: 133.7481
13632/24129 [===============>..............] - ETA: 1s - loss: 133.5513 - output_salary_loss: 0.5260 - output_age_loss: 133.0253 - output_salary_acc: 0.7385 - output_age_mean_squared_error: 133.0253
14080/24129 [================>.............] - ETA: 1s - loss: 133.9875 - output_salary_loss: 0.5251 - output_age_loss: 133.4625 - output_salary_acc: 0.7389 - output_age_mean_squared_error: 133.4625
14528/24129 [=================>............] - ETA: 1s - loss: 134.1326 - output_salary_loss: 0.5252 - output_age_loss: 133.6073 - output_salary_acc: 0.7393 - output_age_mean_squared_error: 133.6073
14976/24129 [=================>............] - ETA: 1s - loss: 133.9939 - output_salary_loss: 0.5225 - output_age_loss: 133.4713 - output_salary_acc: 0.7417 - output_age_mean_squared_error: 133.4713
15456/24129 [==================>...........] - ETA: 1s - loss: 134.2050 - output_salary_loss: 0.5216 - output_age_loss: 133.6834 - output_salary_acc: 0.7428 - output_age_mean_squared_error: 133.6834
15936/24129 [==================>...........] - ETA: 1s - loss: 134.2943 - output_salary_loss: 0.5218 - output_age_loss: 133.7725 - output_salary_acc: 0.7426 - output_age_mean_squared_error: 133.7725
16352/24129 [===================>..........] - ETA: 1s - loss: 134.7294 - output_salary_loss: 0.5210 - output_age_loss: 134.2083 - output_salary_acc: 0.7433 - output_age_mean_squared_error: 134.2083
16768/24129 [===================>..........] - ETA: 1s - loss: 134.4905 - output_salary_loss: 0.5206 - output_age_loss: 133.9699 - output_salary_acc: 0.7433 - output_age_mean_squared_error: 133.9699
17184/24129 [====================>.........] - ETA: 1s - loss: 135.0378 - output_salary_loss: 0.5193 - output_age_loss: 134.5185 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 134.5185
17632/24129 [====================>.........] - ETA: 1s - loss: 135.2082 - output_salary_loss: 0.5191 - output_age_loss: 134.6891 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 134.6891
18112/24129 [=====================>........] - ETA: 0s - loss: 135.1886 - output_salary_loss: 0.5185 - output_age_loss: 134.6700 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 134.6700
18656/24129 [======================>.......] - ETA: 0s - loss: 135.3644 - output_salary_loss: 0.5185 - output_age_loss: 134.8459 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 134.8459
19136/24129 [======================>.......] - ETA: 0s - loss: 135.3131 - output_salary_loss: 0.5180 - output_age_loss: 134.7952 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 134.7952
19552/24129 [=======================>......] - ETA: 0s - loss: 135.2866 - output_salary_loss: 0.5173 - output_age_loss: 134.7694 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 134.7694
20000/24129 [=======================>......] - ETA: 0s - loss: 135.4738 - output_salary_loss: 0.5173 - output_age_loss: 134.9565 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 134.9565
20352/24129 [========================>.....] - ETA: 0s - loss: 135.2298 - output_salary_loss: 0.5175 - output_age_loss: 134.7123 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 134.7123
20800/24129 [========================>.....] - ETA: 0s - loss: 135.1550 - output_salary_loss: 0.5174 - output_age_loss: 134.6376 - output_salary_acc: 0.7458 - output_age_mean_squared_error: 134.6376
21280/24129 [=========================>....] - ETA: 0s - loss: 135.6201 - output_salary_loss: 0.5173 - output_age_loss: 135.1028 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 135.1028
21728/24129 [==========================>...] - ETA: 0s - loss: 135.6294 - output_salary_loss: 0.5172 - output_age_loss: 135.1121 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 135.1121
22048/24129 [==========================>...] - ETA: 0s - loss: 135.2416 - output_salary_loss: 0.5172 - output_age_loss: 134.7244 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 134.7244
22560/24129 [===========================>..] - ETA: 0s - loss: 135.3791 - output_salary_loss: 0.5168 - output_age_loss: 134.8623 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 134.8623
22912/24129 [===========================>..] - ETA: 0s - loss: 135.4055 - output_salary_loss: 0.5168 - output_age_loss: 134.8887 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 134.8887
23104/24129 [===========================>..] - ETA: 0s - loss: 135.3112 - output_salary_loss: 0.5170 - output_age_loss: 134.7943 - output_salary_acc: 0.7458 - output_age_mean_squared_error: 134.7943
23488/24129 [============================>.] - ETA: 0s - loss: 135.1515 - output_salary_loss: 0.5167 - output_age_loss: 134.6347 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 134.6347
23840/24129 [============================>.] - ETA: 0s - loss: 135.3877 - output_salary_loss: 0.5173 - output_age_loss: 134.8704 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 134.8704
24129/24129 [==============================] - 4s 154us/step - loss: 135.2435 - output_salary_loss: 0.5166 - output_age_loss: 134.7268 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 134.7268 - val_loss: 95.1636 - val_output_salary_loss: 0.5247 - val_output_age_loss: 94.6389 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 94.6389
Epoch 18/20
32/24129 [..............................] - ETA: 3s - loss: 112.5786 - output_salary_loss: 0.5053 - output_age_loss: 112.0734 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 112.0734
448/24129 [..............................] - ETA: 2s - loss: 108.9273 - output_salary_loss: 0.5345 - output_age_loss: 108.3928 - output_salary_acc: 0.7321 - output_age_mean_squared_error: 108.3928
800/24129 [..............................] - ETA: 3s - loss: 112.3655 - output_salary_loss: 0.5286 - output_age_loss: 111.8369 - output_salary_acc: 0.7350 - output_age_mean_squared_error: 111.8369
896/24129 [>.............................] - ETA: 4s - loss: 112.6083 - output_salary_loss: 0.5146 - output_age_loss: 112.0937 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 112.0937
1024/24129 [>.............................] - ETA: 5s - loss: 113.5624 - output_salary_loss: 0.5123 - output_age_loss: 113.0501 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 113.0501
1152/24129 [>.............................] - ETA: 5s - loss: 119.0556 - output_salary_loss: 0.5162 - output_age_loss: 118.5394 - output_salary_acc: 0.7422 - output_age_mean_squared_error: 118.5394
1312/24129 [>.............................] - ETA: 6s - loss: 119.6842 - output_salary_loss: 0.5113 - output_age_loss: 119.1729 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 119.1729
1408/24129 [>.............................] - ETA: 6s - loss: 122.4224 - output_salary_loss: 0.5125 - output_age_loss: 121.9099 - output_salary_acc: 0.7464 - output_age_mean_squared_error: 121.9099
1568/24129 [>.............................] - ETA: 6s - loss: 120.0010 - output_salary_loss: 0.5130 - output_age_loss: 119.4881 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 119.4881
1728/24129 [=>............................] - ETA: 7s - loss: 120.7558 - output_salary_loss: 0.5147 - output_age_loss: 120.2411 - output_salary_acc: 0.7436 - output_age_mean_squared_error: 120.2411
1856/24129 [=>............................] - ETA: 7s - loss: 120.2551 - output_salary_loss: 0.5098 - output_age_loss: 119.7453 - output_salary_acc: 0.7478 - output_age_mean_squared_error: 119.7453
1984/24129 [=>............................] - ETA: 7s - loss: 120.1954 - output_salary_loss: 0.5093 - output_age_loss: 119.6861 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 119.6861
2048/24129 [=>............................] - ETA: 7s - loss: 119.6817 - output_salary_loss: 0.5072 - output_age_loss: 119.1744 - output_salary_acc: 0.7485 - output_age_mean_squared_error: 119.1744
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2624/24129 [==>...........................] - ETA: 7s - loss: 123.4129 - output_salary_loss: 0.5139 - output_age_loss: 122.8989 - output_salary_acc: 0.7428 - output_age_mean_squared_error: 122.8989
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2912/24129 [==>...........................] - ETA: 8s - loss: 122.8381 - output_salary_loss: 0.5158 - output_age_loss: 122.3223 - output_salary_acc: 0.7397 - output_age_mean_squared_error: 122.3223
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3872/24129 [===>..........................] - ETA: 6s - loss: 126.5790 - output_salary_loss: 0.5121 - output_age_loss: 126.0669 - output_salary_acc: 0.7428 - output_age_mean_squared_error: 126.0669
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5088/24129 [=====>........................] - ETA: 4s - loss: 133.5055 - output_salary_loss: 0.5161 - output_age_loss: 132.9893 - output_salary_acc: 0.7431 - output_age_mean_squared_error: 132.9893
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6304/24129 [======>.......................] - ETA: 3s - loss: 133.8432 - output_salary_loss: 0.5160 - output_age_loss: 133.3272 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 133.3272
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8704/24129 [=========>....................] - ETA: 3s - loss: 135.4797 - output_salary_loss: 0.5137 - output_age_loss: 134.9659 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 134.9659
8800/24129 [=========>....................] - ETA: 3s - loss: 135.2992 - output_salary_loss: 0.5136 - output_age_loss: 134.7856 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 134.7856
8960/24129 [==========>...................] - ETA: 3s - loss: 134.8631 - output_salary_loss: 0.5137 - output_age_loss: 134.3494 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 134.3494
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9152/24129 [==========>...................] - ETA: 3s - loss: 135.4515 - output_salary_loss: 0.5145 - output_age_loss: 134.9370 - output_salary_acc: 0.7448 - output_age_mean_squared_error: 134.9370
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9568/24129 [==========>...................] - ETA: 3s - loss: 135.5490 - output_salary_loss: 0.5118 - output_age_loss: 135.0372 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 135.0372
9824/24129 [===========>..................] - ETA: 3s - loss: 135.9803 - output_salary_loss: 0.5109 - output_age_loss: 135.4695 - output_salary_acc: 0.7478 - output_age_mean_squared_error: 135.4695
10112/24129 [===========>..................] - ETA: 3s - loss: 136.0026 - output_salary_loss: 0.5114 - output_age_loss: 135.4912 - output_salary_acc: 0.7474 - output_age_mean_squared_error: 135.4912
10240/24129 [===========>..................] - ETA: 3s - loss: 135.6889 - output_salary_loss: 0.5118 - output_age_loss: 135.1771 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 135.1771
10400/24129 [===========>..................] - ETA: 3s - loss: 135.3565 - output_salary_loss: 0.5123 - output_age_loss: 134.8442 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 134.8442
10560/24129 [============>.................] - ETA: 3s - loss: 135.7622 - output_salary_loss: 0.5119 - output_age_loss: 135.2504 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 135.2504
10624/24129 [============>.................] - ETA: 3s - loss: 135.7535 - output_salary_loss: 0.5113 - output_age_loss: 135.2423 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 135.2423
10784/24129 [============>.................] - ETA: 3s - loss: 136.0213 - output_salary_loss: 0.5113 - output_age_loss: 135.5100 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 135.5100
10976/24129 [============>.................] - ETA: 3s - loss: 135.4156 - output_salary_loss: 0.5118 - output_age_loss: 134.9037 - output_salary_acc: 0.7460 - output_age_mean_squared_error: 134.9037
11040/24129 [============>.................] - ETA: 3s - loss: 135.4614 - output_salary_loss: 0.5125 - output_age_loss: 134.9489 - output_salary_acc: 0.7458 - output_age_mean_squared_error: 134.9489
11136/24129 [============>.................] - ETA: 3s - loss: 135.1130 - output_salary_loss: 0.5121 - output_age_loss: 134.6010 - output_salary_acc: 0.7460 - output_age_mean_squared_error: 134.6010
11296/24129 [=============>................] - ETA: 3s - loss: 134.7087 - output_salary_loss: 0.5114 - output_age_loss: 134.1973 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 134.1973
11424/24129 [=============>................] - ETA: 3s - loss: 134.5492 - output_salary_loss: 0.5120 - output_age_loss: 134.0372 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 134.0372
11552/24129 [=============>................] - ETA: 3s - loss: 134.3344 - output_salary_loss: 0.5113 - output_age_loss: 133.8230 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 133.8230
11712/24129 [=============>................] - ETA: 3s - loss: 134.2145 - output_salary_loss: 0.5112 - output_age_loss: 133.7032 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 133.7032
11840/24129 [=============>................] - ETA: 3s - loss: 134.0944 - output_salary_loss: 0.5118 - output_age_loss: 133.5826 - output_salary_acc: 0.7466 - output_age_mean_squared_error: 133.5826
11936/24129 [=============>................] - ETA: 3s - loss: 134.0693 - output_salary_loss: 0.5112 - output_age_loss: 133.5581 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 133.5581
12096/24129 [==============>...............] - ETA: 3s - loss: 134.0107 - output_salary_loss: 0.5110 - output_age_loss: 133.4997 - output_salary_acc: 0.7470 - output_age_mean_squared_error: 133.4997
12192/24129 [==============>...............] - ETA: 3s - loss: 134.1848 - output_salary_loss: 0.5115 - output_age_loss: 133.6733 - output_salary_acc: 0.7471 - output_age_mean_squared_error: 133.6733
12416/24129 [==============>...............] - ETA: 3s - loss: 134.0867 - output_salary_loss: 0.5113 - output_age_loss: 133.5754 - output_salary_acc: 0.7473 - output_age_mean_squared_error: 133.5754
12800/24129 [==============>...............] - ETA: 3s - loss: 133.9795 - output_salary_loss: 0.5105 - output_age_loss: 133.4691 - output_salary_acc: 0.7480 - output_age_mean_squared_error: 133.4691
13152/24129 [===============>..............] - ETA: 3s - loss: 134.1964 - output_salary_loss: 0.5108 - output_age_loss: 133.6856 - output_salary_acc: 0.7476 - output_age_mean_squared_error: 133.6856
13504/24129 [===============>..............] - ETA: 3s - loss: 134.5585 - output_salary_loss: 0.5122 - output_age_loss: 134.0463 - output_salary_acc: 0.7468 - output_age_mean_squared_error: 134.0463
13888/24129 [================>.............] - ETA: 2s - loss: 134.6735 - output_salary_loss: 0.5125 - output_age_loss: 134.1610 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 134.1610
14240/24129 [================>.............] - ETA: 2s - loss: 134.4773 - output_salary_loss: 0.5124 - output_age_loss: 133.9648 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 133.9648
14592/24129 [=================>............] - ETA: 2s - loss: 134.4858 - output_salary_loss: 0.5130 - output_age_loss: 133.9728 - output_salary_acc: 0.7453 - output_age_mean_squared_error: 133.9728
14976/24129 [=================>............] - ETA: 2s - loss: 134.4445 - output_salary_loss: 0.5132 - output_age_loss: 133.9313 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 133.9313
15264/24129 [=================>............] - ETA: 2s - loss: 134.3531 - output_salary_loss: 0.5119 - output_age_loss: 133.8412 - output_salary_acc: 0.7459 - output_age_mean_squared_error: 133.8412
15424/24129 [==================>...........] - ETA: 2s - loss: 134.2344 - output_salary_loss: 0.5130 - output_age_loss: 133.7214 - output_salary_acc: 0.7453 - output_age_mean_squared_error: 133.7214
15552/24129 [==================>...........] - ETA: 2s - loss: 133.9229 - output_salary_loss: 0.5126 - output_age_loss: 133.4104 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 133.4104
15712/24129 [==================>...........] - ETA: 2s - loss: 133.7977 - output_salary_loss: 0.5122 - output_age_loss: 133.2855 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 133.2855
15840/24129 [==================>...........] - ETA: 2s - loss: 133.8461 - output_salary_loss: 0.5124 - output_age_loss: 133.3337 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 133.3337
15968/24129 [==================>...........] - ETA: 2s - loss: 133.9022 - output_salary_loss: 0.5121 - output_age_loss: 133.3901 - output_salary_acc: 0.7457 - output_age_mean_squared_error: 133.3901
16128/24129 [===================>..........] - ETA: 2s - loss: 134.1514 - output_salary_loss: 0.5123 - output_age_loss: 133.6391 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 133.6391
16288/24129 [===================>..........] - ETA: 2s - loss: 134.2553 - output_salary_loss: 0.5117 - output_age_loss: 133.7436 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 133.7436
16384/24129 [===================>..........] - ETA: 2s - loss: 134.1921 - output_salary_loss: 0.5117 - output_age_loss: 133.6805 - output_salary_acc: 0.7461 - output_age_mean_squared_error: 133.6805
16544/24129 [===================>..........] - ETA: 2s - loss: 134.2182 - output_salary_loss: 0.5114 - output_age_loss: 133.7068 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 133.7068
16704/24129 [===================>..........] - ETA: 2s - loss: 134.1555 - output_salary_loss: 0.5108 - output_age_loss: 133.6447 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 133.6447
16768/24129 [===================>..........] - ETA: 2s - loss: 134.2007 - output_salary_loss: 0.5114 - output_age_loss: 133.6893 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 133.6893
16928/24129 [====================>.........] - ETA: 2s - loss: 134.2907 - output_salary_loss: 0.5123 - output_age_loss: 133.7784 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 133.7784
17056/24129 [====================>.........] - ETA: 2s - loss: 134.4128 - output_salary_loss: 0.5123 - output_age_loss: 133.9006 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 133.9006
17152/24129 [====================>.........] - ETA: 2s - loss: 134.3306 - output_salary_loss: 0.5123 - output_age_loss: 133.8183 - output_salary_acc: 0.7463 - output_age_mean_squared_error: 133.8183
17280/24129 [====================>.........] - ETA: 1s - loss: 134.2877 - output_salary_loss: 0.5118 - output_age_loss: 133.7759 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 133.7759
17472/24129 [====================>.........] - ETA: 1s - loss: 134.1709 - output_salary_loss: 0.5117 - output_age_loss: 133.6592 - output_salary_acc: 0.7465 - output_age_mean_squared_error: 133.6592
17664/24129 [====================>.........] - ETA: 1s - loss: 134.2029 - output_salary_loss: 0.5125 - output_age_loss: 133.6904 - output_salary_acc: 0.7460 - output_age_mean_squared_error: 133.6904
18080/24129 [=====================>........] - ETA: 1s - loss: 133.8125 - output_salary_loss: 0.5121 - output_age_loss: 133.3005 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 133.3005
18400/24129 [=====================>........] - ETA: 1s - loss: 133.6607 - output_salary_loss: 0.5121 - output_age_loss: 133.1486 - output_salary_acc: 0.7462 - output_age_mean_squared_error: 133.1486
18848/24129 [======================>.......] - ETA: 1s - loss: 133.7878 - output_salary_loss: 0.5128 - output_age_loss: 133.2750 - output_salary_acc: 0.7458 - output_age_mean_squared_error: 133.2750
19360/24129 [=======================>......] - ETA: 1s - loss: 134.1189 - output_salary_loss: 0.5134 - output_age_loss: 133.6056 - output_salary_acc: 0.7451 - output_age_mean_squared_error: 133.6056
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19808/24129 [=======================>......] - ETA: 1s - loss: 134.1197 - output_salary_loss: 0.5138 - output_age_loss: 133.6059 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 133.6059
19936/24129 [=======================>......] - ETA: 1s - loss: 134.1392 - output_salary_loss: 0.5139 - output_age_loss: 133.6254 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 133.6254
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20512/24129 [========================>.....] - ETA: 1s - loss: 134.1201 - output_salary_loss: 0.5141 - output_age_loss: 133.6060 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 133.6060
20640/24129 [========================>.....] - ETA: 0s - loss: 134.2118 - output_salary_loss: 0.5142 - output_age_loss: 133.6975 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 133.6975
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23040/24129 [===========================>..] - ETA: 0s - loss: 133.8541 - output_salary_loss: 0.5140 - output_age_loss: 133.3401 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 133.3401
23200/24129 [===========================>..] - ETA: 0s - loss: 133.9330 - output_salary_loss: 0.5139 - output_age_loss: 133.4191 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 133.4191
23296/24129 [===========================>..] - ETA: 0s - loss: 133.9849 - output_salary_loss: 0.5140 - output_age_loss: 133.4709 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 133.4709
23424/24129 [============================>.] - ETA: 0s - loss: 133.9999 - output_salary_loss: 0.5139 - output_age_loss: 133.4860 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 133.4860
23552/24129 [============================>.] - ETA: 0s - loss: 134.1487 - output_salary_loss: 0.5139 - output_age_loss: 133.6348 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 133.6348
23680/24129 [============================>.] - ETA: 0s - loss: 134.3040 - output_salary_loss: 0.5138 - output_age_loss: 133.7903 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 133.7903
23808/24129 [============================>.] - ETA: 0s - loss: 134.3514 - output_salary_loss: 0.5137 - output_age_loss: 133.8378 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 133.8378
23968/24129 [============================>.] - ETA: 0s - loss: 134.2173 - output_salary_loss: 0.5137 - output_age_loss: 133.7037 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 133.7037
24064/24129 [============================>.] - ETA: 0s - loss: 134.3805 - output_salary_loss: 0.5136 - output_age_loss: 133.8669 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 133.8669
24129/24129 [==============================] - 8s 319us/step - loss: 134.4885 - output_salary_loss: 0.5137 - output_age_loss: 133.9747 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 133.9747 - val_loss: 95.0060 - val_output_salary_loss: 0.5264 - val_output_age_loss: 94.4797 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 94.4797
Epoch 19/20
32/24129 [..............................] - ETA: 4s - loss: 111.5948 - output_salary_loss: 0.5070 - output_age_loss: 111.0878 - output_salary_acc: 0.7500 - output_age_mean_squared_error: 111.0878
160/24129 [..............................] - ETA: 9s - loss: 119.3521 - output_salary_loss: 0.4888 - output_age_loss: 118.8633 - output_salary_acc: 0.7688 - output_age_mean_squared_error: 118.8633
256/24129 [..............................] - ETA: 11s - loss: 137.0184 - output_salary_loss: 0.4885 - output_age_loss: 136.5299 - output_salary_acc: 0.7617 - output_age_mean_squared_error: 136.5299
352/24129 [..............................] - ETA: 12s - loss: 132.1618 - output_salary_loss: 0.4677 - output_age_loss: 131.6942 - output_salary_acc: 0.7841 - output_age_mean_squared_error: 131.6942
448/24129 [..............................] - ETA: 12s - loss: 128.9199 - output_salary_loss: 0.5025 - output_age_loss: 128.4174 - output_salary_acc: 0.7679 - output_age_mean_squared_error: 128.4174
544/24129 [..............................] - ETA: 12s - loss: 130.7462 - output_salary_loss: 0.4889 - output_age_loss: 130.2573 - output_salary_acc: 0.7776 - output_age_mean_squared_error: 130.2573
672/24129 [..............................] - ETA: 12s - loss: 129.4108 - output_salary_loss: 0.4972 - output_age_loss: 128.9135 - output_salary_acc: 0.7693 - output_age_mean_squared_error: 128.9135
768/24129 [..............................] - ETA: 13s - loss: 127.2062 - output_salary_loss: 0.4912 - output_age_loss: 126.7150 - output_salary_acc: 0.7721 - output_age_mean_squared_error: 126.7150
864/24129 [>.............................] - ETA: 13s - loss: 128.1223 - output_salary_loss: 0.5020 - output_age_loss: 127.6203 - output_salary_acc: 0.7639 - output_age_mean_squared_error: 127.6203
928/24129 [>.............................] - ETA: 14s - loss: 130.6489 - output_salary_loss: 0.5026 - output_age_loss: 130.1463 - output_salary_acc: 0.7597 - output_age_mean_squared_error: 130.1463
1024/24129 [>.............................] - ETA: 14s - loss: 131.7697 - output_salary_loss: 0.4994 - output_age_loss: 131.2703 - output_salary_acc: 0.7607 - output_age_mean_squared_error: 131.2703
1152/24129 [>.............................] - ETA: 14s - loss: 135.2708 - output_salary_loss: 0.4931 - output_age_loss: 134.7777 - output_salary_acc: 0.7674 - output_age_mean_squared_error: 134.7777
1216/24129 [>.............................] - ETA: 14s - loss: 135.2042 - output_salary_loss: 0.4951 - output_age_loss: 134.7091 - output_salary_acc: 0.7673 - output_age_mean_squared_error: 134.7091
1312/24129 [>.............................] - ETA: 14s - loss: 135.0568 - output_salary_loss: 0.4990 - output_age_loss: 134.5578 - output_salary_acc: 0.7660 - output_age_mean_squared_error: 134.5578
1472/24129 [>.............................] - ETA: 13s - loss: 135.5128 - output_salary_loss: 0.4981 - output_age_loss: 135.0148 - output_salary_acc: 0.7683 - output_age_mean_squared_error: 135.0148
1568/24129 [>.............................] - ETA: 13s - loss: 137.0466 - output_salary_loss: 0.5041 - output_age_loss: 136.5425 - output_salary_acc: 0.7634 - output_age_mean_squared_error: 136.5425
1696/24129 [=>............................] - ETA: 13s - loss: 136.6284 - output_salary_loss: 0.5029 - output_age_loss: 136.1255 - output_salary_acc: 0.7636 - output_age_mean_squared_error: 136.1255
1856/24129 [=>............................] - ETA: 12s - loss: 138.7277 - output_salary_loss: 0.5027 - output_age_loss: 138.2250 - output_salary_acc: 0.7619 - output_age_mean_squared_error: 138.2250
2336/24129 [=>............................] - ETA: 10s - loss: 137.5018 - output_salary_loss: 0.5049 - output_age_loss: 136.9969 - output_salary_acc: 0.7547 - output_age_mean_squared_error: 136.9969
2912/24129 [==>...........................] - ETA: 8s - loss: 134.4396 - output_salary_loss: 0.5018 - output_age_loss: 133.9378 - output_salary_acc: 0.7517 - output_age_mean_squared_error: 133.9378
3584/24129 [===>..........................] - ETA: 6s - loss: 133.9857 - output_salary_loss: 0.5004 - output_age_loss: 133.4853 - output_salary_acc: 0.7542 - output_age_mean_squared_error: 133.4853
4224/24129 [====>.........................] - ETA: 5s - loss: 134.9318 - output_salary_loss: 0.5025 - output_age_loss: 134.4293 - output_salary_acc: 0.7550 - output_age_mean_squared_error: 134.4293
4832/24129 [=====>........................] - ETA: 5s - loss: 134.3901 - output_salary_loss: 0.5056 - output_age_loss: 133.8844 - output_salary_acc: 0.7510 - output_age_mean_squared_error: 133.8844
5504/24129 [=====>........................] - ETA: 4s - loss: 134.0733 - output_salary_loss: 0.5095 - output_age_loss: 133.5639 - output_salary_acc: 0.7525 - output_age_mean_squared_error: 133.5639
6208/24129 [======>.......................] - ETA: 4s - loss: 132.5687 - output_salary_loss: 0.5090 - output_age_loss: 132.0597 - output_salary_acc: 0.7534 - output_age_mean_squared_error: 132.0597
6848/24129 [=======>......................] - ETA: 3s - loss: 133.1430 - output_salary_loss: 0.5119 - output_age_loss: 132.6311 - output_salary_acc: 0.7506 - output_age_mean_squared_error: 132.6311
7456/24129 [========>.....................] - ETA: 3s - loss: 133.2055 - output_salary_loss: 0.5146 - output_age_loss: 132.6909 - output_salary_acc: 0.7469 - output_age_mean_squared_error: 132.6909
8128/24129 [=========>....................] - ETA: 3s - loss: 133.2218 - output_salary_loss: 0.5163 - output_age_loss: 132.7055 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 132.7055
8800/24129 [=========>....................] - ETA: 2s - loss: 133.5203 - output_salary_loss: 0.5169 - output_age_loss: 133.0034 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 133.0034
9504/24129 [==========>...................] - ETA: 2s - loss: 133.2652 - output_salary_loss: 0.5175 - output_age_loss: 132.7478 - output_salary_acc: 0.7448 - output_age_mean_squared_error: 132.7478
10144/24129 [===========>..................] - ETA: 2s - loss: 132.4579 - output_salary_loss: 0.5176 - output_age_loss: 131.9403 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 131.9403
10784/24129 [============>.................] - ETA: 2s - loss: 132.7222 - output_salary_loss: 0.5160 - output_age_loss: 132.2063 - output_salary_acc: 0.7456 - output_age_mean_squared_error: 132.2063
11456/24129 [=============>................] - ETA: 2s - loss: 132.1497 - output_salary_loss: 0.5176 - output_age_loss: 131.6321 - output_salary_acc: 0.7424 - output_age_mean_squared_error: 131.6321
12160/24129 [==============>...............] - ETA: 1s - loss: 132.4277 - output_salary_loss: 0.5159 - output_age_loss: 131.9118 - output_salary_acc: 0.7433 - output_age_mean_squared_error: 131.9118
12832/24129 [==============>...............] - ETA: 1s - loss: 132.8531 - output_salary_loss: 0.5154 - output_age_loss: 132.3377 - output_salary_acc: 0.7437 - output_age_mean_squared_error: 132.3377
13440/24129 [===============>..............] - ETA: 1s - loss: 132.6372 - output_salary_loss: 0.5155 - output_age_loss: 132.1218 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 132.1218
14080/24129 [================>.............] - ETA: 1s - loss: 134.1697 - output_salary_loss: 0.5165 - output_age_loss: 133.6532 - output_salary_acc: 0.7426 - output_age_mean_squared_error: 133.6532
14784/24129 [=================>............] - ETA: 1s - loss: 134.5724 - output_salary_loss: 0.5164 - output_age_loss: 134.0559 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 134.0559
15296/24129 [==================>...........] - ETA: 1s - loss: 134.1482 - output_salary_loss: 0.5165 - output_age_loss: 133.6317 - output_salary_acc: 0.7427 - output_age_mean_squared_error: 133.6317
15776/24129 [==================>...........] - ETA: 1s - loss: 134.0117 - output_salary_loss: 0.5166 - output_age_loss: 133.4952 - output_salary_acc: 0.7421 - output_age_mean_squared_error: 133.4952
16352/24129 [===================>..........] - ETA: 1s - loss: 133.6373 - output_salary_loss: 0.5174 - output_age_loss: 133.1199 - output_salary_acc: 0.7420 - output_age_mean_squared_error: 133.1199
16832/24129 [===================>..........] - ETA: 0s - loss: 133.6514 - output_salary_loss: 0.5163 - output_age_loss: 133.1351 - output_salary_acc: 0.7428 - output_age_mean_squared_error: 133.1351
17280/24129 [====================>.........] - ETA: 0s - loss: 134.0693 - output_salary_loss: 0.5167 - output_age_loss: 133.5526 - output_salary_acc: 0.7433 - output_age_mean_squared_error: 133.5526
17536/24129 [====================>.........] - ETA: 0s - loss: 134.1027 - output_salary_loss: 0.5164 - output_age_loss: 133.5863 - output_salary_acc: 0.7434 - output_age_mean_squared_error: 133.5863
17696/24129 [=====================>........] - ETA: 0s - loss: 134.0791 - output_salary_loss: 0.5165 - output_age_loss: 133.5626 - output_salary_acc: 0.7433 - output_age_mean_squared_error: 133.5626
17856/24129 [=====================>........] - ETA: 0s - loss: 133.9683 - output_salary_loss: 0.5161 - output_age_loss: 133.4522 - output_salary_acc: 0.7436 - output_age_mean_squared_error: 133.4522
18016/24129 [=====================>........] - ETA: 0s - loss: 134.0821 - output_salary_loss: 0.5166 - output_age_loss: 133.5655 - output_salary_acc: 0.7431 - output_age_mean_squared_error: 133.5655
18112/24129 [=====================>........] - ETA: 0s - loss: 133.8833 - output_salary_loss: 0.5164 - output_age_loss: 133.3668 - output_salary_acc: 0.7433 - output_age_mean_squared_error: 133.3668
18240/24129 [=====================>........] - ETA: 0s - loss: 133.8257 - output_salary_loss: 0.5164 - output_age_loss: 133.3093 - output_salary_acc: 0.7434 - output_age_mean_squared_error: 133.3093
18400/24129 [=====================>........] - ETA: 0s - loss: 133.7726 - output_salary_loss: 0.5169 - output_age_loss: 133.2556 - output_salary_acc: 0.7433 - output_age_mean_squared_error: 133.2556
18560/24129 [======================>.......] - ETA: 0s - loss: 133.7623 - output_salary_loss: 0.5168 - output_age_loss: 133.2456 - output_salary_acc: 0.7435 - output_age_mean_squared_error: 133.2456
18656/24129 [======================>.......] - ETA: 0s - loss: 133.5758 - output_salary_loss: 0.5165 - output_age_loss: 133.0593 - output_salary_acc: 0.7437 - output_age_mean_squared_error: 133.0593
18752/24129 [======================>.......] - ETA: 0s - loss: 133.5437 - output_salary_loss: 0.5164 - output_age_loss: 133.0274 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 133.0274
18912/24129 [======================>.......] - ETA: 0s - loss: 133.5919 - output_salary_loss: 0.5167 - output_age_loss: 133.0752 - output_salary_acc: 0.7436 - output_age_mean_squared_error: 133.0752
19072/24129 [======================>.......] - ETA: 0s - loss: 133.5792 - output_salary_loss: 0.5169 - output_age_loss: 133.0623 - output_salary_acc: 0.7433 - output_age_mean_squared_error: 133.0623
19200/24129 [======================>.......] - ETA: 0s - loss: 133.4135 - output_salary_loss: 0.5164 - output_age_loss: 132.8971 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 132.8971
19360/24129 [=======================>......] - ETA: 0s - loss: 133.3882 - output_salary_loss: 0.5161 - output_age_loss: 132.8721 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 132.8721
19520/24129 [=======================>......] - ETA: 0s - loss: 133.5925 - output_salary_loss: 0.5161 - output_age_loss: 133.0764 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 133.0764
19616/24129 [=======================>......] - ETA: 0s - loss: 133.5501 - output_salary_loss: 0.5162 - output_age_loss: 133.0339 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 133.0339
19712/24129 [=======================>......] - ETA: 0s - loss: 133.7888 - output_salary_loss: 0.5164 - output_age_loss: 133.2724 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 133.2724
20032/24129 [=======================>......] - ETA: 0s - loss: 133.3323 - output_salary_loss: 0.5168 - output_age_loss: 132.8155 - output_salary_acc: 0.7433 - output_age_mean_squared_error: 132.8155
20128/24129 [========================>.....] - ETA: 0s - loss: 133.3989 - output_salary_loss: 0.5167 - output_age_loss: 132.8822 - output_salary_acc: 0.7432 - output_age_mean_squared_error: 132.8822
20256/24129 [========================>.....] - ETA: 0s - loss: 133.3699 - output_salary_loss: 0.5169 - output_age_loss: 132.8530 - output_salary_acc: 0.7433 - output_age_mean_squared_error: 132.8530
20384/24129 [========================>.....] - ETA: 0s - loss: 133.2078 - output_salary_loss: 0.5165 - output_age_loss: 132.6913 - output_salary_acc: 0.7435 - output_age_mean_squared_error: 132.6913
20480/24129 [========================>.....] - ETA: 0s - loss: 133.2641 - output_salary_loss: 0.5169 - output_age_loss: 132.7472 - output_salary_acc: 0.7432 - output_age_mean_squared_error: 132.7472
20544/24129 [========================>.....] - ETA: 0s - loss: 133.2427 - output_salary_loss: 0.5172 - output_age_loss: 132.7255 - output_salary_acc: 0.7429 - output_age_mean_squared_error: 132.7255
20704/24129 [========================>.....] - ETA: 0s - loss: 133.4668 - output_salary_loss: 0.5169 - output_age_loss: 132.9498 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 132.9498
20832/24129 [========================>.....] - ETA: 0s - loss: 133.5553 - output_salary_loss: 0.5168 - output_age_loss: 133.0385 - output_salary_acc: 0.7431 - output_age_mean_squared_error: 133.0385
20896/24129 [========================>.....] - ETA: 0s - loss: 133.5709 - output_salary_loss: 0.5169 - output_age_loss: 133.0539 - output_salary_acc: 0.7429 - output_age_mean_squared_error: 133.0539
21024/24129 [=========================>....] - ETA: 0s - loss: 133.6353 - output_salary_loss: 0.5175 - output_age_loss: 133.1178 - output_salary_acc: 0.7427 - output_age_mean_squared_error: 133.1178
21184/24129 [=========================>....] - ETA: 0s - loss: 133.5417 - output_salary_loss: 0.5173 - output_age_loss: 133.0244 - output_salary_acc: 0.7428 - output_age_mean_squared_error: 133.0244
21312/24129 [=========================>....] - ETA: 0s - loss: 133.4403 - output_salary_loss: 0.5172 - output_age_loss: 132.9230 - output_salary_acc: 0.7429 - output_age_mean_squared_error: 132.9230
21472/24129 [=========================>....] - ETA: 0s - loss: 133.2825 - output_salary_loss: 0.5171 - output_age_loss: 132.7654 - output_salary_acc: 0.7429 - output_age_mean_squared_error: 132.7654
21632/24129 [=========================>....] - ETA: 0s - loss: 133.3937 - output_salary_loss: 0.5168 - output_age_loss: 132.8769 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 132.8769
21728/24129 [==========================>...] - ETA: 0s - loss: 133.3018 - output_salary_loss: 0.5165 - output_age_loss: 132.7853 - output_salary_acc: 0.7432 - output_age_mean_squared_error: 132.7853
21856/24129 [==========================>...] - ETA: 0s - loss: 133.7355 - output_salary_loss: 0.5169 - output_age_loss: 133.2187 - output_salary_acc: 0.7429 - output_age_mean_squared_error: 133.2187
22016/24129 [==========================>...] - ETA: 0s - loss: 133.8211 - output_salary_loss: 0.5166 - output_age_loss: 133.3046 - output_salary_acc: 0.7431 - output_age_mean_squared_error: 133.3046
22208/24129 [==========================>...] - ETA: 0s - loss: 133.8097 - output_salary_loss: 0.5165 - output_age_loss: 133.2932 - output_salary_acc: 0.7428 - output_age_mean_squared_error: 133.2932
22464/24129 [==========================>...] - ETA: 0s - loss: 133.7805 - output_salary_loss: 0.5165 - output_age_loss: 133.2640 - output_salary_acc: 0.7427 - output_age_mean_squared_error: 133.2640
22560/24129 [===========================>..] - ETA: 0s - loss: 133.6249 - output_salary_loss: 0.5161 - output_age_loss: 133.1088 - output_salary_acc: 0.7430 - output_age_mean_squared_error: 133.1088
22624/24129 [===========================>..] - ETA: 0s - loss: 133.6028 - output_salary_loss: 0.5160 - output_age_loss: 133.0868 - output_salary_acc: 0.7431 - output_age_mean_squared_error: 133.0868
22784/24129 [===========================>..] - ETA: 0s - loss: 133.7824 - output_salary_loss: 0.5158 - output_age_loss: 133.2667 - output_salary_acc: 0.7435 - output_age_mean_squared_error: 133.2667
22944/24129 [===========================>..] - ETA: 0s - loss: 133.8085 - output_salary_loss: 0.5155 - output_age_loss: 133.2931 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 133.2931
23040/24129 [===========================>..] - ETA: 0s - loss: 133.9074 - output_salary_loss: 0.5156 - output_age_loss: 133.3918 - output_salary_acc: 0.7439 - output_age_mean_squared_error: 133.3918
23168/24129 [===========================>..] - ETA: 0s - loss: 134.0139 - output_salary_loss: 0.5153 - output_age_loss: 133.4986 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 133.4986
23328/24129 [============================>.] - ETA: 0s - loss: 134.0943 - output_salary_loss: 0.5151 - output_age_loss: 133.5792 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 133.5792
23456/24129 [============================>.] - ETA: 0s - loss: 134.0822 - output_salary_loss: 0.5152 - output_age_loss: 133.5670 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 133.5670
23552/24129 [============================>.] - ETA: 0s - loss: 134.1038 - output_salary_loss: 0.5149 - output_age_loss: 133.5889 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 133.5889
23712/24129 [============================>.] - ETA: 0s - loss: 134.1340 - output_salary_loss: 0.5150 - output_age_loss: 133.6191 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 133.6191
23872/24129 [============================>.] - ETA: 0s - loss: 134.1095 - output_salary_loss: 0.5146 - output_age_loss: 133.5949 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 133.5949
24000/24129 [============================>.] - ETA: 0s - loss: 134.0363 - output_salary_loss: 0.5149 - output_age_loss: 133.5214 - output_salary_acc: 0.7442 - output_age_mean_squared_error: 133.5214
24096/24129 [============================>.] - ETA: 0s - loss: 134.0535 - output_salary_loss: 0.5151 - output_age_loss: 133.5384 - output_salary_acc: 0.7441 - output_age_mean_squared_error: 133.5384
24129/24129 [==============================] - 6s 232us/step - loss: 134.0713 - output_salary_loss: 0.5152 - output_age_loss: 133.5561 - output_salary_acc: 0.7440 - output_age_mean_squared_error: 133.5561 - val_loss: 98.2715 - val_output_salary_loss: 0.5261 - val_output_age_loss: 97.7454 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 97.7454
Epoch 20/20
32/24129 [..............................] - ETA: 3s - loss: 168.9966 - output_salary_loss: 0.5304 - output_age_loss: 168.4662 - output_salary_acc: 0.7188 - output_age_mean_squared_error: 168.4662
512/24129 [..............................] - ETA: 2s - loss: 144.8325 - output_salary_loss: 0.4971 - output_age_loss: 144.3354 - output_salary_acc: 0.7539 - output_age_mean_squared_error: 144.3354
1184/24129 [>.............................] - ETA: 2s - loss: 144.4016 - output_salary_loss: 0.5155 - output_age_loss: 143.8860 - output_salary_acc: 0.7517 - output_age_mean_squared_error: 143.8860
1824/24129 [=>............................] - ETA: 1s - loss: 136.8111 - output_salary_loss: 0.5306 - output_age_loss: 136.2805 - output_salary_acc: 0.7467 - output_age_mean_squared_error: 136.2805
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22592/24129 [===========================>..] - ETA: 0s - loss: 133.8213 - output_salary_loss: 0.5161 - output_age_loss: 133.3052 - output_salary_acc: 0.7436 - output_age_mean_squared_error: 133.3052
22688/24129 [===========================>..] - ETA: 0s - loss: 133.7601 - output_salary_loss: 0.5158 - output_age_loss: 133.2443 - output_salary_acc: 0.7438 - output_age_mean_squared_error: 133.2443
22816/24129 [===========================>..] - ETA: 0s - loss: 133.6570 - output_salary_loss: 0.5157 - output_age_loss: 133.1413 - output_salary_acc: 0.7440 - output_age_mean_squared_error: 133.1413
22976/24129 [===========================>..] - ETA: 0s - loss: 133.7470 - output_salary_loss: 0.5149 - output_age_loss: 133.2321 - output_salary_acc: 0.7446 - output_age_mean_squared_error: 133.2321
23104/24129 [===========================>..] - ETA: 0s - loss: 133.8197 - output_salary_loss: 0.5152 - output_age_loss: 133.3045 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 133.3045
23168/24129 [===========================>..] - ETA: 0s - loss: 133.8880 - output_salary_loss: 0.5154 - output_age_loss: 133.3726 - output_salary_acc: 0.7444 - output_age_mean_squared_error: 133.3726
23296/24129 [===========================>..] - ETA: 0s - loss: 133.8174 - output_salary_loss: 0.5155 - output_age_loss: 133.3019 - output_salary_acc: 0.7443 - output_age_mean_squared_error: 133.3019
23424/24129 [============================>.] - ETA: 0s - loss: 133.5749 - output_salary_loss: 0.5153 - output_age_loss: 133.0596 - output_salary_acc: 0.7445 - output_age_mean_squared_error: 133.0596
23520/24129 [============================>.] - ETA: 0s - loss: 133.6368 - output_salary_loss: 0.5151 - output_age_loss: 133.1217 - output_salary_acc: 0.7448 - output_age_mean_squared_error: 133.1217
23616/24129 [============================>.] - ETA: 0s - loss: 133.7100 - output_salary_loss: 0.5150 - output_age_loss: 133.1950 - output_salary_acc: 0.7449 - output_age_mean_squared_error: 133.1950
23744/24129 [============================>.] - ETA: 0s - loss: 133.5399 - output_salary_loss: 0.5144 - output_age_loss: 133.0254 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 133.0254
23904/24129 [============================>.] - ETA: 0s - loss: 133.3494 - output_salary_loss: 0.5143 - output_age_loss: 132.8351 - output_salary_acc: 0.7454 - output_age_mean_squared_error: 132.8351
24032/24129 [============================>.] - ETA: 0s - loss: 133.2560 - output_salary_loss: 0.5145 - output_age_loss: 132.7415 - output_salary_acc: 0.7455 - output_age_mean_squared_error: 132.7415
24129/24129 [==============================] - 8s 317us/step - loss: 133.4112 - output_salary_loss: 0.5146 - output_age_loss: 132.8966 - output_salary_acc: 0.7452 - output_age_mean_squared_error: 132.8966 - val_loss: 96.3030 - val_output_salary_loss: 0.5271 - val_output_age_loss: 95.7760 - val_output_salary_acc: 0.7459 - val_output_age_mean_squared_error: 95.7760